{"id":"W4253449455","doi":"10.46427/gold2020.1425","title":"Canada’s First National-Scale Mineral Potential Model","year":2020,"lang":"en","type":"article","venue":"Goldschmidt Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Scale (ratio); Computer science; Environmental science; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000473116,0.0001519766,0.0001601058,0.00004582886,0.00006774122,0.00004618922,0.0001653746,0.00007395505,0.0001468957],"category_scores_gemma":[0.00002691703,0.0001546932,0.00007716203,0.0001756354,0.00001385899,0.0001690333,0.00002140147,0.0001701013,0.000116275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112359,"about_ca_system_score_gemma":0.0003029903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01664345,"about_ca_topic_score_gemma":0.2570796,"domain_scores_codex":[0.9988437,0.000006378979,0.0002747327,0.0001754134,0.0004658811,0.0002338749],"domain_scores_gemma":[0.9995086,0.00001120988,0.00003150462,0.0001046671,0.00006954432,0.0002745123],"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":[0.000003615594,0.000007351622,0.00002338901,0.00002225713,0.00003472485,0.00001446424,0.0001050584,0.8882867,0.002707263,0.00002596651,0.1087366,0.00003257787],"study_design_scores_gemma":[0.0002060905,0.00000499256,0.0009419365,0.000004393112,0.00001717072,0.000001746031,0.00003322594,0.9683437,0.001278608,0.00004319245,0.0289318,0.0001931938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7745228,0.0003751537,0.01300495,0.04153778,0.0008094299,0.0003797405,0.000253867,0.001034598,0.1680816],"genre_scores_gemma":[0.9973392,0.00002368591,0.000442826,0.001170129,0.000271316,0.000007698507,0.00007116178,0.00002744539,0.0006465433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2404362,"threshold_uncertainty_score":0.9899048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127521326109665,"score_gpt":0.1910168286358785,"score_spread":0.178264696024912,"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."}}