{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001226749,0.0001248758,0.000126107,0.0001323489,0.00001027234,0.00005575139,0.0001017616,0.00003860933,0.0002263535],"category_scores_gemma":[0.00001462563,0.0001378747,0.0000191631,0.0001422226,0.000002570334,0.0002019031,0.00002600997,0.0001197721,0.000008800384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006227532,"about_ca_system_score_gemma":0.0001424553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1860325,"about_ca_topic_score_gemma":0.8037648,"domain_scores_codex":[0.9993507,0.000003188018,0.0001861696,0.0001532036,0.00003189681,0.000274822],"domain_scores_gemma":[0.999688,0.00005926591,0.000004041475,0.0001492802,0.000006266648,0.0000931668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005733843,0.00004866367,0.02412084,0.00196811,0.0001427529,0.0007775479,0.005972007,0.7323794,0.01556552,0.003976342,0.1255788,0.08946436],"study_design_scores_gemma":[0.00003806418,0.000007140978,0.0007599035,0.00009970268,0.000002800679,0.000006124984,0.0001358894,0.9907843,0.001535537,0.000007925572,0.006438968,0.0001836359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850509,0.001330532,0.00249687,0.0000159306,0.0005512422,0.00005670562,0.000006468919,0.0006345033,0.009856885],"genre_scores_gemma":[0.9891632,0.00002895904,0.01046818,0.00001067333,0.00008865871,0.00001526252,0.000006747,0.00004776893,0.0001706162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6177323,"threshold_uncertainty_score":0.8193877,"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."}}