{"id":"W4251457288","doi":"10.29173/ikc3652","title":"A multidisciplinary approach to the Attawapiskat kimberlite field, Canada: accelerating the discovery to production pipeline","year":2019,"lang":"en","type":"article","venue":"International Kimberlite Conference Extended Abstracts: 2012","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"De Beers (Canada)","funders":"","keywords":"Kimberlite; Pipeline (software); Multidisciplinary approach; Field (mathematics); Production (economics); Computer science; Geology; Geochemistry; Political science; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001616435,0.0004941419,0.0003173605,0.002762883,0.01770915,0.005627063,0.002100602,0.00159058,0.008576314],"category_scores_gemma":[0.002280489,0.0003477018,0.0003839855,0.002806843,0.003043897,0.00188578,0.005225375,0.002219432,0.0003814631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07934958,"about_ca_system_score_gemma":0.2804326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850569,"about_ca_topic_score_gemma":0.9965345,"domain_scores_codex":[0.9986221,0.0001130277,0.00002098122,0.0001418845,0.0004693787,0.0006326622],"domain_scores_gemma":[0.9979969,0.0001358033,0.00007406247,0.00005042276,0.00108563,0.0006571882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006995517,0.0006764721,0.1278405,0.001230156,0.0001594871,0.007826142,0.07198709,0.0142238,0.02454511,0.1331158,0.1186366,0.4990594],"study_design_scores_gemma":[0.00007084099,0.0002202793,0.1736226,0.0008377425,0.0001141316,0.0006553305,0.2218883,0.009395631,0.006282985,0.01784658,0.5688691,0.0001964429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5657699,0.00700598,0.02613183,0.08306703,0.0007310073,0.001757844,0.001964142,0.0005305812,0.3130417],"genre_scores_gemma":[0.8602321,0.004240981,0.02872022,0.002636979,0.0000567309,0.0002358273,0.0005063299,0.0001151693,0.1032556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07934958,"threshold_uncertainty_score":0.5757242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350749970983088,"score_gpt":0.2209450335687974,"score_spread":0.2074375338589666,"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."}}