{"meta":{"query_hash":"fbf275364bf3","filters":{"venue":"Population genomics"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/fbf275364bf3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Population+genomics"},"results":[{"id":"W2771287014","doi":"10.1007/13836_2017_4","title":"Yeast Population Genomics Goes Wild: The Case of Saccharomyces paradoxus","year":2017,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Allopatric speciation; Biology; Population genomics; Genetic algorithm; Adaptation (eye); Evolutionary biology; Genomics; Population; Local adaptation; Natural selection; Adaptive evolution; Identification (biology); Genetics; Gene; Genome; Ecology","score_opus":0.03828463292879343,"score_gpt":0.24786079667835426,"score_spread":0.20957616374956084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771287014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37028763,0.16765498,0.16757186,0.058473088,0.0025668978,0.00008082002,0.00041932397,0.00096995087,0.23197542],"genre_scores_gemma":[0.74754715,0.07663318,0.09142849,0.0066794762,0.00058306113,0.00007509317,0.00029111953,0.00038415904,0.07637832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99979025,0.000047705205,0.000005226424,0.000048572492,0.000083532716,0.000024697641],"domain_scores_gemma":[0.9997652,0.00015283025,0.0000088830875,0.000021900974,0.000020882238,0.00003022447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007382182,0.0003159618,0.00054688414,0.00034556983,0.00048968295,0.0020958032,0.000683965,0.0010734254,0.0012110723],"category_scores_gemma":[0.0010500175,0.00023417176,0.0003084245,0.0005708761,0.0020826706,0.0024822839,0.0011490762,0.00283554,0.0004978912],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024941028,0.0001823767,0.0017837561,0.00041402772,0.00005702953,0.0028949338,0.0026470392,0.0057834387,0.14689134,0.43772128,0.01569443,0.38568094],"study_design_scores_gemma":[0.00003859958,0.00015571972,0.0035612374,0.00016044446,0.00005858103,0.0024848217,0.0030174882,0.011231592,0.049213953,0.55746645,0.372532,0.00007913807],"about_ca_topic_score_codex":0.0016146993,"about_ca_topic_score_gemma":0.0020614972,"teacher_disagreement_score":0.0020958032,"about_ca_system_score_codex":0.0007815802,"about_ca_system_score_gemma":0.000383914,"threshold_uncertainty_score":0.005670786},"labels":[],"label_agreement":null},{"id":"W2890872080","doi":"10.1007/13836_2018_45","title":"Advances in Using Non-invasive, Archival, and Environmental Samples for Population Genomic Studies","year":2018,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Metagenomics; Biology; Genotyping; DNA sequencing; Evolutionary biology; Molecular ecology; Population; Computational biology; Ecology; Genetics; DNA; Genotype; Gene","score_opus":0.04227262930711022,"score_gpt":0.25814710072999353,"score_spread":0.2158744714228833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890872080","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013187206,0.20262994,0.64216244,0.01749886,0.0062735425,0.00055089523,0.009075947,0.0018682386,0.10675291],"genre_scores_gemma":[0.030008513,0.1509928,0.7485936,0.008145388,0.0043045892,0.0007787687,0.006973208,0.0014494677,0.04875353],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9930686,0.002267398,0.0003124907,0.001813607,0.002335599,0.00020233048],"domain_scores_gemma":[0.9669456,0.024250124,0.00093177403,0.0035355045,0.0035851854,0.00075185334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023505403,0.0012318445,0.0016687275,0.0047299312,0.0010075638,0.005838286,0.004339649,0.002375296,0.016191384],"category_scores_gemma":[0.018237554,0.0008937666,0.0012250545,0.0055010146,0.0039853994,0.0059695374,0.006363161,0.0050269132,0.0072078225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082801715,0.00020016711,0.0086352285,0.0034931996,0.00019794192,0.00020705909,0.002207887,0.0008470785,0.022243023,0.059844997,0.040907264,0.8611332],"study_design_scores_gemma":[0.000018562238,0.00009704423,0.011738384,0.0013871895,0.00015922743,0.0015174075,0.0015331808,0.0016683559,0.01476657,0.10273854,0.8642463,0.00012927629],"about_ca_topic_score_codex":0.0041915383,"about_ca_topic_score_gemma":0.013329155,"teacher_disagreement_score":0.023505403,"about_ca_system_score_codex":0.0014642578,"about_ca_system_score_gemma":0.0026614543,"threshold_uncertainty_score":0.12430996},"labels":[],"label_agreement":null},{"id":"W2900099073","doi":"10.1007/13836_2018_52","title":"Ancient Pathogens Through Human History: A Paleogenomic Perspective","year":2018,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Ancient DNA; Biology; Evolutionary biology; Pandemic; Human pathogen; Genome; Geography; History; Disease; Genetics; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Gene; Medicine","score_opus":0.03904518584209661,"score_gpt":0.29191767377120764,"score_spread":0.25287248792911105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900099073","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011556688,0.75685525,0.017331483,0.030062411,0.0037106988,0.000023059585,0.00042567277,0.00013126538,0.17990343],"genre_scores_gemma":[0.133719,0.72114533,0.013444657,0.009312722,0.0049879793,0.00006037231,0.00048350226,0.00020122339,0.11664529],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99989915,0.00002843156,0.000004448445,0.0000314911,0.00002406892,0.000012393768],"domain_scores_gemma":[0.9998115,0.0001225193,0.00001226979,0.000012457926,0.000024374505,0.000016834527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052194664,0.00047635578,0.00040739035,0.0010720913,0.00067650306,0.0023144854,0.00060143083,0.0011736556,0.010071929],"category_scores_gemma":[0.00073009724,0.0002093275,0.00015380536,0.00171301,0.0033160723,0.0030803282,0.0010271177,0.0017122917,0.0013263487],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010108366,0.00004365019,0.0011176373,0.0010628114,0.000046122437,0.00035803756,0.0034852484,0.001159784,0.0036887182,0.59849787,0.033628073,0.35681102],"study_design_scores_gemma":[0.000008243385,0.000035550634,0.0027298825,0.0006994557,0.000021940954,0.00059496803,0.0007943241,0.0003149277,0.00063713867,0.22069237,0.773451,0.00002025197],"about_ca_topic_score_codex":0.001493298,"about_ca_topic_score_gemma":0.0031383573,"teacher_disagreement_score":0.010071929,"about_ca_system_score_codex":0.0011649472,"about_ca_system_score_gemma":0.00064077886,"threshold_uncertainty_score":0.03369397},"labels":[],"label_agreement":null},{"id":"W3095888007","doi":"10.1007/13836_2020_83","title":"Wildlife Population Genomics: Applications and Approaches","year":2020,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Wildlife; Genomics; Population genomics; Metagenomics; Population; Biology; Wildlife conservation; Biodiversity; Data science; Environmental resource management; Geography; Ecology; Computer science; Genome; Genetics","score_opus":0.03897377935991525,"score_gpt":0.19822533912252227,"score_spread":0.15925155976260702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095888007","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032884225,0.16999866,0.19900997,0.013643416,0.004826167,0.00014382222,0.00084517366,0.0010765995,0.6071678],"genre_scores_gemma":[0.025831103,0.18056263,0.19040944,0.010153953,0.0034461583,0.00041799725,0.0014039865,0.000792356,0.5869825],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997178,0.00007500911,0.000009055028,0.000050311017,0.00013084066,0.000016978145],"domain_scores_gemma":[0.9996792,0.00020356901,0.000011553323,0.000028190572,0.000050467315,0.000027097503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010178224,0.00059429696,0.0004771918,0.0013812864,0.0004747753,0.002783927,0.0010183336,0.0011475928,0.019259758],"category_scores_gemma":[0.001031819,0.00037989923,0.0003297193,0.002113175,0.0013810963,0.00224025,0.0011636169,0.0014971858,0.00537759],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008964974,0.000040019444,0.0004760231,0.00050645776,0.000016250213,0.00007124692,0.00038000185,0.00122254,0.0014399309,0.2738921,0.15175958,0.5701869],"study_design_scores_gemma":[0.0000024559304,0.00001147998,0.00073731685,0.0002627692,0.0000074453073,0.00025606045,0.0001725728,0.0008187465,0.00047222784,0.10710381,0.8901437,0.000011505627],"about_ca_topic_score_codex":0.0017102584,"about_ca_topic_score_gemma":0.0045439196,"teacher_disagreement_score":0.019259758,"about_ca_system_score_codex":0.0009682817,"about_ca_system_score_gemma":0.0008419642,"threshold_uncertainty_score":0.0644303},"labels":[],"label_agreement":null},{"id":"W4233657210","doi":"10.1007/978-3-030-04589-0","title":"Population Genomics","year":2019,"lang":"en","type":"book","venue":"Population genomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genomics; Population genomics; Identification (biology); Biology; Population; Evolutionary biology; Genetics; Genome; Gene; Ecology; Sociology; Demography","score_opus":0.018589744025681202,"score_gpt":0.2709261806952645,"score_spread":0.2523364366695833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233657210","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00080701703,0.01673677,0.11185763,0.0054114694,0.0025100247,0.000079608595,0.0010287681,0.0018207241,0.859748],"genre_scores_gemma":[0.0125378305,0.0086286,0.043680854,0.0026613695,0.0011726314,0.000111418936,0.0015163014,0.00074439275,0.9289466],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996972,0.000069423004,0.000007532904,0.000077270786,0.00013095593,0.000017660785],"domain_scores_gemma":[0.9997533,0.000100047895,0.000007282891,0.00006253653,0.00005140583,0.000025445766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006028053,0.0006839934,0.00058194855,0.0010439228,0.00064847805,0.0021009974,0.0008849773,0.00094570464,0.08686715],"category_scores_gemma":[0.001143821,0.00038871815,0.00041114297,0.0009945157,0.0011504452,0.0015001319,0.0012784159,0.002095815,0.04577513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017179265,0.000022523323,0.00021376455,0.00012531319,0.000015766851,0.000055660927,0.00015605299,0.0007851003,0.0011831073,0.27077854,0.3712283,0.35541877],"study_design_scores_gemma":[0.0000033893973,0.0000069709536,0.0003144882,0.000052812946,0.0000034984828,0.00013675584,0.000028323106,0.0005240398,0.00035389894,0.09363016,0.9049387,0.0000070352944],"about_ca_topic_score_codex":0.001783583,"about_ca_topic_score_gemma":0.0039029354,"teacher_disagreement_score":0.08686715,"about_ca_system_score_codex":0.0010652783,"about_ca_system_score_gemma":0.0006712212,"threshold_uncertainty_score":0.29059958},"labels":[],"label_agreement":null},{"id":"W4234425162","doi":"10.1007/978-3-030-63489-6","title":"Population Genomics: Wildlife","year":2020,"lang":"en","type":"book","venue":"Population genomics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Wildlife; Genomics; Geography; Population genomics; Population; Biology; Ecology; Genome; Genetics; Environmental health; Medicine","score_opus":0.013880777895001353,"score_gpt":0.22904830080187139,"score_spread":0.21516752290687002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234425162","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010161739,0.10621707,0.033981133,0.0057507367,0.0070482343,0.0001083561,0.00087769324,0.0012823951,0.84371823],"genre_scores_gemma":[0.004530907,0.026446752,0.009650172,0.0022228565,0.0018944773,0.00010798797,0.0006996683,0.0004706225,0.95397645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998379,0.0000361269,0.000006383281,0.000040993593,0.00006817559,0.000010396205],"domain_scores_gemma":[0.99984443,0.000052766227,0.000008707063,0.000021804757,0.000038337796,0.000033877608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038582386,0.0009857514,0.0008255167,0.00114104,0.00043320225,0.0024295119,0.0008047455,0.0010153663,0.102618],"category_scores_gemma":[0.00071840006,0.00035847546,0.0002873243,0.0014789581,0.00092185824,0.0030070464,0.0013941845,0.0017476593,0.046900377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020480817,0.000027013031,0.00011706452,0.00025810808,0.000008977672,0.0000537081,0.00010827586,0.00043400397,0.0011242208,0.061196145,0.51955795,0.41709408],"study_design_scores_gemma":[0.0000030583828,0.0000112703265,0.00028246333,0.00010324293,0.0000028343286,0.00013850772,0.000035662313,0.00016664052,0.000085279986,0.022032991,0.97713417,0.0000038177977],"about_ca_topic_score_codex":0.0015364344,"about_ca_topic_score_gemma":0.004156445,"teacher_disagreement_score":0.102618,"about_ca_system_score_codex":0.0008427499,"about_ca_system_score_gemma":0.0005333661,"threshold_uncertainty_score":0.34329146},"labels":[],"label_agreement":null},{"id":"W4242273094","doi":"10.1007/978-3-030-04756-6","title":"Population Genomics: Microorganisms","year":2019,"lang":"en","type":"book","venue":"Population genomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genomics; Population genomics; Audience measurement; Population; Biology; Metagenomics; Range (aeronautics); Computational biology; Genetics; Genome; Engineering; Medicine; Business; Gene; Environmental health","score_opus":0.014546543907616973,"score_gpt":0.2576759009133718,"score_spread":0.2431293570057548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242273094","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012324526,0.17867321,0.11103257,0.004072778,0.0063850284,0.00014489697,0.00061054947,0.0022020137,0.6956465],"genre_scores_gemma":[0.016490603,0.07923579,0.071130574,0.004544838,0.0034420802,0.00029801126,0.0011565558,0.0010695303,0.822632],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997334,0.000060244238,0.000009853377,0.00005502695,0.00012491162,0.000016588778],"domain_scores_gemma":[0.9998246,0.000081041326,0.000009312223,0.000027707147,0.000031332,0.000026024583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003020738,0.0012177136,0.0009141811,0.0012019887,0.00055756856,0.0028422151,0.0011361414,0.0010757963,0.04551088],"category_scores_gemma":[0.0007990143,0.0004585351,0.00047281542,0.0018226277,0.0016027602,0.0026467182,0.0015635407,0.0026232095,0.030365013],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003362099,0.00004091239,0.00009834413,0.00058371783,0.000019155017,0.000070568756,0.00021502603,0.0010017597,0.0039869696,0.29068562,0.26231688,0.44094738],"study_design_scores_gemma":[0.000004946553,0.0000121445955,0.00009468929,0.0001190212,0.0000037021161,0.00013149015,0.000020509227,0.00026292322,0.00036192447,0.060164385,0.9388186,0.0000057616803],"about_ca_topic_score_codex":0.0008891679,"about_ca_topic_score_gemma":0.0015299341,"teacher_disagreement_score":0.04551088,"about_ca_system_score_codex":0.001047647,"about_ca_system_score_gemma":0.00069744524,"threshold_uncertainty_score":0.1522491},"labels":[],"label_agreement":null},{"id":"W4313002013","doi":"10.1007/13836_2022_106","title":"Insect Landscape Genomics","year":2022,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Genomics; Biology; Computational biology; Evolutionary biology; Geography; Genome; Genetics; Gene","score_opus":0.07127816495402067,"score_gpt":0.19919288912542443,"score_spread":0.12791472417140376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313002013","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034584657,0.02727078,0.049102545,0.00238796,0.0009445218,0.000048264807,0.00082550326,0.0012909947,0.914671],"genre_scores_gemma":[0.02007832,0.014767571,0.023389632,0.0014158473,0.0004508894,0.000064090935,0.0014250589,0.0005054952,0.937903],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99993324,0.000007794378,0.0000011921348,0.00001706187,0.000034363355,0.000006415266],"domain_scores_gemma":[0.9999696,0.000008846535,0.0000015292827,0.000007585064,0.000006259734,0.000006050473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015062356,0.0004107138,0.0003066173,0.00053296285,0.0003532264,0.0011722762,0.0004564712,0.0004503626,0.03951838],"category_scores_gemma":[0.00013012535,0.00021585597,0.00021649431,0.0006395052,0.00040591703,0.00078461814,0.00061633094,0.0011095993,0.014144978],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023453655,0.00003588883,0.00023619678,0.00018224408,0.000010612301,0.00007891436,0.00017032519,0.0008948247,0.012189396,0.14962585,0.21656589,0.6199864],"study_design_scores_gemma":[0.0000024286796,0.000010227298,0.00076914794,0.00004879539,0.0000041701674,0.00018761102,0.000039819257,0.0005639875,0.0018601075,0.039388437,0.9571203,0.000004949746],"about_ca_topic_score_codex":0.0012414106,"about_ca_topic_score_gemma":0.003484035,"teacher_disagreement_score":0.03951838,"about_ca_system_score_codex":0.00062481855,"about_ca_system_score_gemma":0.00021607526,"threshold_uncertainty_score":0.13220215},"labels":[],"label_agreement":null},{"id":"W4395688616","doi":"10.1007/13836_2024_109","title":"Population Genomics of Soybean","year":2024,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genomics; Population genomics; Biology; Computational biology; Genetics; Genome; Gene","score_opus":0.028045100842246266,"score_gpt":0.21940385506366447,"score_spread":0.1913587542214182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395688616","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05587885,0.08317257,0.22447991,0.006265469,0.000925872,0.00007692247,0.0011471985,0.0008159653,0.6272372],"genre_scores_gemma":[0.2935755,0.089741275,0.07869583,0.0030262873,0.0008112591,0.00017809885,0.0036467928,0.00052840705,0.52979654],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99994147,0.000011033683,0.0000014581909,0.0000189893,0.000021343443,0.0000057291636],"domain_scores_gemma":[0.999967,0.000016301918,0.0000023646278,0.0000035770454,0.0000053072827,0.0000054014813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018763311,0.00024921543,0.00019774026,0.00035281968,0.00022079996,0.0005804141,0.00033157406,0.00026969015,0.0035302173],"category_scores_gemma":[0.00016570112,0.00013263925,0.0002146369,0.00039239493,0.00032915364,0.0003944592,0.00038609453,0.00084180216,0.0011372307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005771499,0.000061113664,0.0006276329,0.0003013334,0.000018972221,0.00019568966,0.00034993482,0.0048474115,0.11666817,0.2821606,0.025865143,0.5688463],"study_design_scores_gemma":[0.00001148982,0.00008685532,0.0063160006,0.000121222336,0.00001693922,0.0007234245,0.0001358877,0.0047872886,0.024880804,0.17354839,0.7893508,0.000020863195],"about_ca_topic_score_codex":0.0014015776,"about_ca_topic_score_gemma":0.0018583453,"teacher_disagreement_score":0.0035302173,"about_ca_system_score_codex":0.0006800574,"about_ca_system_score_gemma":0.00026283006,"threshold_uncertainty_score":0.011809707},"labels":[],"label_agreement":null},{"id":"W4402043705","doi":"10.1007/13836_2024_110","title":"Incorporating Population Genomics into Integrated Insect Pest Management: A Reduced-Representation Sequencing Approach","year":2024,"lang":"en","type":"book-chapter","venue":"Population genomics","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Canadian Food Inspection Agency","funders":"","keywords":"Integrated pest management; Genomics; Biology; Population genomics; Representation (politics); PEST analysis; Insect pest; Insect; Evolutionary biology; Biotechnology; Ecology; Genetics; Genome; Agronomy; Botany; Gene; Political science","score_opus":0.03679697970260566,"score_gpt":0.2344912057462307,"score_spread":0.19769422604362502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402043705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012850193,0.00054337614,0.9817063,0.00017698655,0.000064516404,0.00007228644,0.0005557746,0.0014926813,0.002537875],"genre_scores_gemma":[0.06777015,0.0007926659,0.92521614,0.0005286012,0.00007250575,0.00023008745,0.0019773368,0.00055714604,0.0028554157],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99930215,0.0002591646,0.000022874607,0.00023398055,0.00014190488,0.000039941613],"domain_scores_gemma":[0.99863905,0.0009869353,0.00007939225,0.00015266116,0.00010030418,0.000041604933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021008614,0.0009807098,0.0015746984,0.00079918484,0.00044925438,0.0016274793,0.0017283108,0.0011253582,0.00290454],"category_scores_gemma":[0.003091302,0.0007911447,0.0015484934,0.0011189353,0.0005783455,0.0014600222,0.0010713689,0.0026638133,0.0010640109],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004409176,0.0004445144,0.0034331053,0.0007971433,0.00066298235,0.00021320752,0.00037266413,0.2275534,0.29679307,0.04876869,0.0041668974,0.41635334],"study_design_scores_gemma":[0.00008346198,0.00036167415,0.0037776374,0.000071045426,0.00033089184,0.00017291596,0.000079751706,0.86322844,0.032371078,0.081146754,0.01829795,0.00007832695],"about_ca_topic_score_codex":0.004352109,"about_ca_topic_score_gemma":0.0077220406,"teacher_disagreement_score":0.004352109,"about_ca_system_score_codex":0.001107551,"about_ca_system_score_gemma":0.00087815116,"threshold_uncertainty_score":0.011110544},"labels":[],"label_agreement":null}]}