{"id":"W2981704326","doi":"10.4095/213270","title":"A mineral deposit data base structure and a data base of VMS and Sedex deposits","year":2002,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Base (topology); Mineral; Geology; Geochemistry; Chemistry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001372793,0.001005333,0.001281035,0.006250182,0.0008586763,0.003264776,0.002427366,0.0008519974,0.06743216],"category_scores_gemma":[0.005075024,0.0009637956,0.0006987899,0.006907334,0.000400698,0.003459323,0.002316335,0.001162332,0.03637919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534285,"about_ca_system_score_gemma":0.00294999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006161551,"about_ca_topic_score_gemma":0.002862798,"domain_scores_codex":[0.9987553,0.00009505644,0.0003323585,0.0002961134,0.0004226889,0.00009853059],"domain_scores_gemma":[0.9956599,0.0005320985,0.0004387076,0.001338478,0.001661221,0.0003696161],"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":[0.00175927,0.0004931539,0.0193122,0.001288705,0.0001527556,0.0008213437,0.0006900132,0.01013752,0.01689918,0.02951456,0.6868956,0.2320357],"study_design_scores_gemma":[0.0002828898,0.0001311145,0.01444211,0.0001451491,0.00006141329,0.0006280775,0.0002030586,0.01063648,0.01471748,0.005904065,0.9527302,0.0001179927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02291586,0.000353606,0.07916587,0.0005265648,0.0003754752,0.001651627,0.794908,0.06489286,0.03521005],"genre_scores_gemma":[0.04604491,0.0002809155,0.08300859,0.0003526197,0.0001764618,0.001156354,0.8419643,0.006161273,0.02085461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06743216,"threshold_uncertainty_score":0.2255831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07163744340628436,"score_gpt":0.2775883914207046,"score_spread":0.2059509480144202,"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."}}