{"id":"W4319780216","doi":"10.4095/331340","title":"Canada in 3D - National Geological Surveys Committee update report","year":2023,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Charter; Library science; Geography; Political science; Computer science; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00530401,0.000263656,0.0005980671,0.0001917668,0.0001055575,0.00004333262,0.0003555968,0.0003529814,0.0127251],"category_scores_gemma":[0.001638771,0.0001832985,0.0001238862,0.0005380826,0.00004530983,0.00004014635,0.00004068003,0.000588407,0.0005165848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006205854,"about_ca_system_score_gemma":0.004895258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931937,"about_ca_topic_score_gemma":0.9989704,"domain_scores_codex":[0.9959522,0.000341213,0.0007772907,0.0006393173,0.001825105,0.0004648435],"domain_scores_gemma":[0.9985392,0.0004320469,0.0002313822,0.0002544831,0.0003865032,0.0001563939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000132547,0.000007587986,0.7666169,0.00001163206,0.00003788527,0.001605864,7.402298e-7,0.04873935,6.092536e-9,0.00000320453,0.1789638,0.004011659],"study_design_scores_gemma":[0.00004881738,0.00001232315,0.7829787,0.00001438723,0.00001589663,0.000118843,0.000006151007,0.01769141,5.789293e-8,0.000511631,0.1983457,0.0002561004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05454703,0.001040594,0.0006957393,0.008431966,0.004094041,0.0003665199,0.002234442,0.0003724241,0.9282172],"genre_scores_gemma":[0.9119142,0.0006847815,0.0004137671,0.0006875942,0.0004173994,0.000003109161,0.01385318,0.000006840762,0.07201912],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8573672,"threshold_uncertainty_score":0.9881774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09920994395713377,"score_gpt":0.2860124359123801,"score_spread":0.1868024919552463,"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."}}