{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004547134,0.0005523518,0.0007385686,0.0007108861,0.002372422,0.001810222,0.002358972,0.001107407,0.01073314],"category_scores_gemma":[0.001777718,0.0005354906,0.0009227581,0.001354191,0.0006131764,0.001075014,0.0006987419,0.001295129,0.001521347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02890306,"about_ca_system_score_gemma":0.05590537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9873648,"about_ca_topic_score_gemma":0.9888985,"domain_scores_codex":[0.9996413,0.00002968989,0.000007676411,0.00004441163,0.0001596233,0.0001174195],"domain_scores_gemma":[0.999095,0.00007339752,0.00001581746,0.00005339783,0.0006465623,0.0001158325],"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":[0.0002356154,0.0001167999,0.007662149,0.0001289908,0.0001060056,0.0001713106,0.0001083672,0.8073117,0.0007727094,0.0283597,0.1297752,0.02525155],"study_design_scores_gemma":[0.0002144529,0.00003902744,0.007190599,0.00005862066,0.00007515336,0.00004510687,0.0002565373,0.9036484,0.001536751,0.007243911,0.07959501,0.00009634929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3814736,0.001503474,0.02643576,0.009994777,0.000712064,0.000318291,0.1149141,0.003823937,0.4608241],"genre_scores_gemma":[0.8905189,0.0007405987,0.02058469,0.0004956363,0.00003672304,0.0001452646,0.02846435,0.0007072515,0.05830654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02890306,"threshold_uncertainty_score":0.2097074,"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."}}