{"id":"W4394420594","doi":"10.6084/m9.figshare.23740071.v2","title":"Principal Productive Mines of Canada","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal (computer security); Mining engineering; Environmental planning; Geography; Geology; Computer science; Computer security","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":[0.0004336697,0.001097109,0.0008616409,0.006881669,0.002236138,0.002780842,0.002258856,0.000663907,0.02142394],"category_scores_gemma":[0.003868665,0.0004427103,0.0006447324,0.02080397,0.0005229653,0.0006867723,0.001011635,0.001009758,0.01541121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01533085,"about_ca_system_score_gemma":0.030722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9666526,"about_ca_topic_score_gemma":0.98353,"domain_scores_codex":[0.9989674,0.00004171278,0.0000726072,0.0002030337,0.000469859,0.0002452523],"domain_scores_gemma":[0.9965357,0.0002213679,0.0002006938,0.0003214816,0.002399677,0.000321148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007350813,0.00001891513,0.007623457,0.000459957,0.00003228711,0.00007371137,0.0001775039,0.0006225752,0.0001411022,0.002380367,0.9782677,0.01012891],"study_design_scores_gemma":[0.00002693359,0.000005363963,0.02451319,0.0002551083,0.00002156509,0.00006975317,0.0004529182,0.0008461012,0.0003256907,0.0005921166,0.9728565,0.00003467212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001108902,0.0001776297,0.0001142747,0.00006963014,0.00001464975,0.00001583901,0.9951038,0.0001526207,0.003242668],"genre_scores_gemma":[0.003549539,0.0003178585,0.0005566202,0.00003516499,0.000004778437,0.00004452505,0.9920658,0.00004789051,0.003377827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03334743,"threshold_uncertainty_score":0.1112336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312909420994511,"score_gpt":0.2166804005753973,"score_spread":0.1853894584759462,"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."}}