{"meta":{"query_hash":"8ca2b9a07b2c","filters":{"venue":"BIOCOMP"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/8ca2b9a07b2c","api":"https://metacan.xera.ac/api/v1/cohort?venue=BIOCOMP"},"results":[{"id":"W17603131","doi":"10.1123/jab.23.2.119","title":"Long spaced seeds for finding similarities between biological sequences.","year":2007,"lang":"en","type":"article","venue":"BIOCOMP","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sensitivity (control systems); Homology (biology); Measure (data warehouse); Mathematics; Algorithm; Fraction (chemistry); Computer science; Biology; Data mining; Genetics; Gene","score_opus":0.07917843696535799,"score_gpt":0.31957608837918283,"score_spread":0.24039765141382485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W17603131","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":[0.14718793,0.0031857106,0.8204731,0.0005413745,0.0014714759,0.00138463,0.005192058,0.009451803,0.011111983],"genre_scores_gemma":[0.31114843,0.000560414,0.67512774,0.0002398767,0.0002201523,0.0011104683,0.006465804,0.00058064004,0.0045464546],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846846,0.00031797471,0.00017336146,0.00067969336,0.00029066633,0.0000699163],"domain_scores_gemma":[0.9955136,0.0021967315,0.000577063,0.00083246786,0.0006401302,0.00023993326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021390438,0.0008155237,0.0010656324,0.0041983705,0.0011239188,0.0010917744,0.0009653649,0.0012843662,0.008933035],"category_scores_gemma":[0.014931957,0.00037102203,0.0007033203,0.003535572,0.0009817012,0.0016531424,0.001141961,0.0010238205,0.006129952],"study_design_candidate":"simulation_or_modeling","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":[0.0022420634,0.00045305438,0.024727616,0.0020874029,0.0005219729,0.0017729424,0.0014406884,0.015916003,0.17378162,0.031181235,0.014939514,0.73093593],"study_design_scores_gemma":[0.0006496643,0.0023276114,0.06303983,0.0011977667,0.0009436383,0.008189232,0.002248157,0.48412645,0.13705048,0.13105236,0.16892557,0.00024933278],"about_ca_topic_score_codex":0.0010039571,"about_ca_topic_score_gemma":0.0021275664,"teacher_disagreement_score":0.008933035,"about_ca_system_score_codex":0.0005381282,"about_ca_system_score_gemma":0.0012414703,"threshold_uncertainty_score":0.02988398},"labels":[],"label_agreement":null},{"id":"W68420151","doi":"","title":"Introducing Hippy: A Visualization Tool for Understanding the alpha-Helix Pair Interface.","year":2006,"lang":"en","type":"article","venue":"BIOCOMP","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Visualization; OpenGL; Computer science; Software; Computer graphics (images); Interface (matter); Alpha helix; Helix (gastropod); Human–computer interaction; Crystallography; Programming language; Artificial intelligence; Operating system; Chemistry","score_opus":0.012009940199654562,"score_gpt":0.26413974466119033,"score_spread":0.25212980446153577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W68420151","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051008062,0.0008109582,0.88308024,0.0005362471,0.00022744555,0.00007496804,0.004029567,0.10055869,0.0055810725],"genre_scores_gemma":[0.08267577,0.0024020558,0.86660886,0.0004922455,0.0002458612,0.00036934632,0.013558834,0.020915912,0.012731127],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997825,0.00003493377,0.000013253853,0.00003458498,0.00010472444,0.000030039957],"domain_scores_gemma":[0.9996315,0.00014796463,0.00003698798,0.00004322919,0.00006536595,0.00007486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045704094,0.0011097922,0.00056862575,0.0016225482,0.00059444626,0.0015003505,0.0014732595,0.0010182206,0.026583789],"category_scores_gemma":[0.0019150621,0.00057733076,0.0008002536,0.0009943424,0.00040479258,0.0032430969,0.0029465351,0.0020805865,0.004511075],"study_design_candidate":"simulation_or_modeling","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":[0.00045105943,0.00010756626,0.0035976619,0.0018147532,0.00021524116,0.0016793297,0.0020054532,0.019204715,0.0660698,0.045407377,0.42645925,0.4329878],"study_design_scores_gemma":[0.00021963714,0.00007548969,0.0036676796,0.00025676223,0.00006898467,0.0023119417,0.00038022763,0.21403998,0.03647974,0.06464049,0.67764693,0.00021223824],"about_ca_topic_score_codex":0.0022812702,"about_ca_topic_score_gemma":0.0022244079,"teacher_disagreement_score":0.026583789,"about_ca_system_score_codex":0.00028223582,"about_ca_system_score_gemma":0.00061748276,"threshold_uncertainty_score":0.08893162},"labels":[],"label_agreement":null}]}