{"id":"W2981913576","doi":"10.4095/220380","title":"Gold deposits of Canada: distribution, geological parameters and gold content","year":2005,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Geochemistry; Mineralogy; Distribution (mathematics); Mathematics","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":[0.0001917324,0.0003331329,0.0002461906,0.005041224,0.001153044,0.0009149323,0.0006206007,0.0001818381,0.004634575],"category_scores_gemma":[0.001149897,0.0001852328,0.0002382623,0.009642259,0.0003758922,0.0002980443,0.0004433742,0.0002066598,0.001037347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01328097,"about_ca_system_score_gemma":0.01232006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940361,"about_ca_topic_score_gemma":0.9968317,"domain_scores_codex":[0.9996494,0.000007936567,0.00002204215,0.00004401966,0.0002038654,0.00007268629],"domain_scores_gemma":[0.9985428,0.00007333429,0.0001226228,0.00004683249,0.001044262,0.0001701079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000237098,0.00004818477,0.8898625,0.0002736059,0.000146337,0.0002920859,0.0009965388,0.001867453,0.001788681,0.00118585,0.05174292,0.05155871],"study_design_scores_gemma":[0.00000999465,0.000009458612,0.9728519,0.00002862796,0.0000216707,0.00015072,0.000851532,0.0008573866,0.0006715612,0.0001045187,0.02442232,0.00002032114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6102072,0.0007984383,0.0005006588,0.0003149438,0.00001274857,0.00007611167,0.3677624,0.0002234361,0.02010408],"genre_scores_gemma":[0.8418882,0.0009191073,0.001381487,0.00006515479,0.000006753258,0.00004185432,0.1450778,0.0000503171,0.01056926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01328097,"threshold_uncertainty_score":0.09636062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400365976782691,"score_gpt":0.2261949678242781,"score_spread":0.1821913080564512,"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."}}