{"meta":{"query_hash":"2056aa378f31","filters":{"venue":"Journal of mining and environment"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/2056aa378f31","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+mining+and+environment"},"results":[{"id":"W2156793526","doi":"10.22044/jme.2015.456","title":"FEASIBILITY STUDY OF UNDERGROUND SALT CAVERNS IN WESTERN NEWFOUNDLAND: EXPERIMENTAL AND FINITE ELEMENT INVESTIGATION OF CREEP-INDUCED DAMAGE","year":2015,"lang":"en","type":"article","venue":"Journal of mining and environment","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Creep; Geotechnical engineering; Geology; Finite element method; Stress (linguistics); Constitutive equation; Mining engineering; Engineering; Structural engineering; Materials science","score_opus":0.05932000887813897,"score_gpt":0.2600061719877276,"score_spread":0.2006861631095886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156793526","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":[0.9987257,0.000010417057,0.0004418581,0.000014720893,0.000002276135,0.000024671155,0.000108891414,0.000014866065,0.00065656146],"genre_scores_gemma":[0.99825376,0.000021006948,0.0010139854,0.000007024632,6.769992e-7,0.000021620292,0.00009928323,0.0000032595128,0.00057929626],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970406,0.00002431371,0.000026545202,0.000055822773,0.0001092267,0.0000798718],"domain_scores_gemma":[0.9992899,0.00019089911,0.00012097795,0.0001185436,0.00019599205,0.0000836551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005726577,0.00033883355,0.00028545124,0.00058122014,0.00087174977,0.00043640035,0.0007262612,0.0006690842,0.00076660205],"category_scores_gemma":[0.00079173065,0.00028283516,0.00040298453,0.00033719753,0.001188387,0.00029960377,0.0004394339,0.00034868703,0.0001516411],"study_design_candidate":"bench_or_experimental","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":[0.0014656365,0.0024620881,0.35902506,0.0003820309,0.0001178468,0.004173168,0.0022259855,0.26487184,0.33261713,0.0014114446,0.0015753036,0.029672528],"study_design_scores_gemma":[0.00014693737,0.004157522,0.61550736,0.000082149025,0.00013000623,0.0009877984,0.0038762938,0.28086635,0.09091605,0.00023418534,0.002984374,0.00011098631],"about_ca_topic_score_codex":0.10714246,"about_ca_topic_score_gemma":0.35508713,"teacher_disagreement_score":0.10714246,"about_ca_system_score_codex":0.0017230946,"about_ca_system_score_gemma":0.0015339674,"threshold_uncertainty_score":0.21303761},"labels":[],"label_agreement":null},{"id":"W2613449628","doi":"10.22044/jme.2017.919","title":"Application of concentration gradient coefficients in mining geochemistry: A comparison of copper mineralization in Iran and Canada","year":2018,"lang":"en","type":"article","venue":"Journal of mining and environment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mineralization (soil science); Geology; Geochemistry; Mineral exploration; Copper; Mineralogy; Copper ore; Anomaly (physics); Chemistry; Soil science; Soil water","score_opus":0.012359688752154192,"score_gpt":0.21779045795778063,"score_spread":0.20543076920562645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613449628","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":[0.9961482,0.00024961252,0.0005892989,0.000030535677,0.0000022114655,0.000011163932,0.0004383944,0.00002881951,0.002501763],"genre_scores_gemma":[0.9976236,0.0001880315,0.0015558988,0.000006237864,0.0000010057576,0.00000677345,0.0003034803,0.0000081190055,0.00030682754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960905,0.000034008877,0.000020976613,0.000073631076,0.00016868295,0.000093671115],"domain_scores_gemma":[0.9994468,0.00005866591,0.00006591194,0.000025887097,0.00036074923,0.000042009684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053469563,0.0002332459,0.00021881713,0.0042919926,0.0006517951,0.0006768894,0.00046090127,0.00020285384,0.0004365066],"category_scores_gemma":[0.0012888967,0.00014989584,0.0003881251,0.0045859814,0.0003620585,0.00023909207,0.00041726686,0.00015412585,0.00006947379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018697177,0.000028398435,0.9523638,0.00006088887,0.00011379499,0.00023384848,0.00049139396,0.003832486,0.006593556,0.00065057975,0.00038129653,0.03506297],"study_design_scores_gemma":[0.000008537012,0.000022035068,0.9887931,0.000008545525,0.00004163257,0.00011535117,0.0008574808,0.006016991,0.0026357628,0.00014784005,0.0013371326,0.00001552361],"about_ca_topic_score_codex":0.7950316,"about_ca_topic_score_gemma":0.84554595,"teacher_disagreement_score":0.2049684,"about_ca_system_score_codex":0.0046144123,"about_ca_system_score_gemma":0.0048495983,"threshold_uncertainty_score":0.41235095},"labels":[],"label_agreement":null},{"id":"W2890160467","doi":"10.22044/jme.2018.7335.1584","title":"A comprehensive benchmark between two filter-based multiple-point simulation algorithms","year":2019,"lang":"en","type":"article","venue":"Journal of mining and environment","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Algorithm; Benchmark (surveying); Variogram; Computer science; Filter (signal processing); Similarity (geometry); Wavelet; Geostatistics; Feature (linguistics); Image (mathematics); Data mining; Artificial intelligence; Statistics; Mathematics; Machine learning; Kriging; Computer vision","score_opus":0.018334747530175385,"score_gpt":0.24187794273855062,"score_spread":0.22354319520837523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890160467","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":[0.2852502,0.0008080012,0.699836,0.00048120602,0.00017095682,0.00014607311,0.0007571679,0.0041444614,0.008405908],"genre_scores_gemma":[0.6851541,0.000374965,0.31071934,0.00007915459,0.000044775563,0.00020041119,0.0014739316,0.00040001646,0.0015533799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999257,0.00021729243,0.00005817296,0.00012796704,0.00026497312,0.00007465539],"domain_scores_gemma":[0.997004,0.0016715941,0.0001299976,0.00044696714,0.0006412383,0.000106224266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015575732,0.0007512416,0.00084028987,0.0010685236,0.00048054452,0.0008658383,0.0010661001,0.0012455923,0.0016264459],"category_scores_gemma":[0.0053424095,0.00026204088,0.00072574744,0.0011924795,0.00042073484,0.0010304188,0.0006500017,0.00072672573,0.00038400939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024365587,0.00016035062,0.0039503113,0.00012996132,0.00010435767,0.00007068726,0.00006443586,0.92070925,0.0043491386,0.0061423588,0.0011765788,0.062898904],"study_design_scores_gemma":[0.000012529498,0.00004861245,0.00042843568,0.0000044984963,0.0000062244353,0.00001676725,0.000011269964,0.99596965,0.0023406146,0.00057481363,0.00057879544,0.000007874287],"about_ca_topic_score_codex":0.008068477,"about_ca_topic_score_gemma":0.0060550934,"teacher_disagreement_score":0.008068477,"about_ca_system_score_codex":0.000885011,"about_ca_system_score_gemma":0.0013621781,"threshold_uncertainty_score":0.016043007},"labels":[],"label_agreement":null},{"id":"W2955620864","doi":"10.22044/jme.2019.8263.1701","title":"Calculating inter-sectoral carbon flows of a mining sector via hypothetical extraction method","year":2019,"lang":"en","type":"article","venue":"Journal of mining and environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Extraction (chemistry); Carbon fibers; Work (physics); Input–output model; Linkage (software); Raw material; Mining industry; Greenhouse gas; Secondary sector of the economy; Environmental science; Agricultural economics; Natural resource economics; Economy; Mining engineering; Geography; Economics; Geology; Mathematics; Engineering; Chemistry; Algorithm; Biology; Ecology","score_opus":0.012918657044370398,"score_gpt":0.2610668936983713,"score_spread":0.24814823665400093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955620864","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":[0.8742334,0.00030310746,0.10882137,0.0002902617,0.000044253225,0.00016169045,0.007387974,0.0003953387,0.008362455],"genre_scores_gemma":[0.963018,0.00020188771,0.029531315,0.00003471963,0.000009575993,0.0001123701,0.005165938,0.00004060421,0.0018855558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996433,0.00013150366,0.000025248675,0.00008386884,0.0000674496,0.000048598158],"domain_scores_gemma":[0.9989711,0.0004978039,0.00013681126,0.00010669849,0.00025293024,0.000034597637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010570317,0.0005386031,0.00031410716,0.0019819255,0.00039556198,0.0007120961,0.000700832,0.0006955042,0.0030619288],"category_scores_gemma":[0.0029339292,0.00029902876,0.0017948074,0.003737584,0.0003595539,0.0011813454,0.00044942554,0.0005351252,0.00036698606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008623358,0.000051025774,0.03453657,0.00008814605,0.00015237056,0.00016671172,0.000046976445,0.9485488,0.0006788433,0.00448436,0.00075509335,0.010404821],"study_design_scores_gemma":[0.00002285664,0.000036942034,0.01956195,0.000015613417,0.0000689349,0.00006236052,0.0000982239,0.9730407,0.00093187706,0.003968985,0.0021641061,0.000027383487],"about_ca_topic_score_codex":0.053364694,"about_ca_topic_score_gemma":0.02884396,"teacher_disagreement_score":0.053364694,"about_ca_system_score_codex":0.0013578273,"about_ca_system_score_gemma":0.0014775357,"threshold_uncertainty_score":0.10610813},"labels":[],"label_agreement":null},{"id":"W2976804862","doi":"10.22044/jme.2019.7333.1582","title":"Application of Sequential Gaussian Conditional Simulation to Underground Mine Design Under Grade Uncertainty","year":2020,"lang":"en","type":"article","venue":"Journal of mining and environment","topic":"Mining Techniques and Economics","field":"Engineering","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":"University of Alberta","funders":"","keywords":"Kriging; Range (aeronautics); Gaussian; Heuristic; Computer science; Geostatistics; Data mining; Mining engineering; Mathematical optimization; Engineering; Spatial variability; Statistics; Mathematics; Machine learning; Artificial intelligence","score_opus":0.04055966813881925,"score_gpt":0.23971907745458657,"score_spread":0.1991594093157673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976804862","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":[0.24555248,0.00014404579,0.74999297,0.000120185694,0.000017717251,0.00008904432,0.00010597372,0.00032725369,0.0036503554],"genre_scores_gemma":[0.94566786,0.000085072395,0.053535055,0.000016571117,0.000004647039,0.00006093927,0.0000633081,0.000024777673,0.0005418229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948126,0.00025622806,0.000020514817,0.00006165239,0.0001148106,0.00006552375],"domain_scores_gemma":[0.9975563,0.001877682,0.00018755905,0.00008047728,0.00024880073,0.000049212464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001173118,0.00056141586,0.0008158509,0.0006373701,0.00035524738,0.00052299845,0.0006101307,0.0006004583,0.0012483865],"category_scores_gemma":[0.0028595917,0.00045440946,0.00077059236,0.00064505753,0.00046755953,0.00037021714,0.00052465807,0.00045544765,0.00007838487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009945786,0.000004422255,0.00031812664,0.000004457738,0.0000036581594,0.000007216369,0.000005104305,0.99799025,0.00010017489,0.00041567854,0.000012941181,0.0011280375],"study_design_scores_gemma":[0.00000228216,0.000008305454,0.000076327844,7.3434705e-7,0.0000021538774,0.0000025350648,0.000002711929,0.99950695,0.00010419048,0.00025695283,0.00003545156,0.0000012972973],"about_ca_topic_score_codex":0.023593698,"about_ca_topic_score_gemma":0.01411165,"teacher_disagreement_score":0.023593698,"about_ca_system_score_codex":0.00084738084,"about_ca_system_score_gemma":0.0015326681,"threshold_uncertainty_score":0.04691273},"labels":[],"label_agreement":null}]}