{"id":"W4400970705","doi":"10.29173/ikc4117","title":"Diamond Mining in Canada – An Evolving Mine Engineering Knowledge Base","year":2024,"lang":"en","type":"article","venue":"","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diamond; Knowledge base; Base (topology); Computer science; Mining engineering; Data science; Engineering; World Wide Web; Materials science; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002546947,0.0003897392,0.0005231056,0.01501018,0.003864461,0.005629819,0.002631618,0.0008076767,0.004581634],"category_scores_gemma":[0.01019987,0.0003441097,0.0005671454,0.02869702,0.001697394,0.002149845,0.001411268,0.0008735241,0.000855002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0467264,"about_ca_system_score_gemma":0.1317971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9873467,"about_ca_topic_score_gemma":0.9953064,"domain_scores_codex":[0.9969317,0.0001732676,0.000201689,0.0003243959,0.002116368,0.0002526463],"domain_scores_gemma":[0.9822065,0.003490445,0.0009181584,0.0007221014,0.01184103,0.0008217472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002216255,0.0002744909,0.2130201,0.001753041,0.0002980207,0.001563528,0.002865446,0.03011446,0.001889704,0.03524763,0.1473792,0.5653728],"study_design_scores_gemma":[0.00003011256,0.00004007268,0.1875607,0.001645542,0.0002082453,0.0004545878,0.006416697,0.02857925,0.003365856,0.01097841,0.7605469,0.0001737747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5430365,0.03371082,0.03259959,0.04420096,0.0005885232,0.0007084577,0.1422531,0.001694244,0.2012077],"genre_scores_gemma":[0.7783097,0.02668335,0.06040397,0.002240225,0.0001500832,0.0001176282,0.07441915,0.0003627474,0.05731316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0467264,"threshold_uncertainty_score":0.3390254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009533628438427106,"score_gpt":0.1897936793290146,"score_spread":0.1802600508905875,"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."}}