{"id":"W2306456242","doi":"10.2113/econgeo.111.1.57","title":"The Giant Mascot Ni-Cu-PGE Deposit, British Columbia: Mineralized Conduits in a Convergent Margin Tectonic Setting","year":2016,"lang":"en","type":"article","venue":"Economic Geology","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Margin (machine learning); Tectonics; Geochemistry; Electrical conduit; Paleontology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004001708,0.0001292174,0.0003413245,0.00003141621,0.0001813653,0.00009403479,0.0003534138,0.0001326176,0.03417382],"category_scores_gemma":[0.0001141354,0.0001009327,0.0001130356,0.00008268867,0.0003043191,0.00007881613,0.0000600595,0.0001445072,0.001344411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002104461,"about_ca_system_score_gemma":0.00004465594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3215359,"about_ca_topic_score_gemma":0.9200878,"domain_scores_codex":[0.9982338,0.0001660715,0.0004613003,0.0004447706,0.00006077604,0.0006333161],"domain_scores_gemma":[0.999029,0.000481861,0.0001277645,0.0002082179,0.00001805789,0.0001350472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001938491,0.000009704504,0.9816858,0.00000342541,0.00003871861,0.00003924339,0.000009497629,0.00008723573,0.0002462092,0.00003822448,0.002999705,0.01482285],"study_design_scores_gemma":[0.0008613341,0.00006752055,0.9834238,0.0000119786,0.00001467784,0.0001033633,0.00003246256,0.002472492,0.00003034487,0.007354796,0.005432026,0.0001952001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892628,0.0009254158,0.000006897764,0.004729088,0.0003694719,0.0001601153,0.00004291309,0.00002907861,0.004474224],"genre_scores_gemma":[0.9924348,0.0003132427,0.00009612043,0.0004279851,0.00007505454,0.000009794834,0.00003392195,0.000002953028,0.006606133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.598552,"threshold_uncertainty_score":0.9994332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006260206398324759,"score_gpt":0.1717970951240922,"score_spread":0.1655368887257675,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}