{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008155065,0.001653246,0.0009765364,0.007350849,0.00463293,0.006351859,0.003782975,0.001867746,0.04693926],"category_scores_gemma":[0.01729405,0.001243801,0.001078742,0.01332788,0.00116293,0.002196714,0.003127681,0.003182013,0.02643262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05430922,"about_ca_system_score_gemma":0.2898376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859673,"about_ca_topic_score_gemma":0.983381,"domain_scores_codex":[0.9861503,0.0004622299,0.0004387404,0.0005110705,0.01109374,0.001343927],"domain_scores_gemma":[0.9596446,0.0007471947,0.0005220823,0.001295044,0.03543172,0.002359389],"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":[0.00002927955,0.00002138898,0.001025083,0.0001157522,0.000007442437,0.00003299887,0.0000885793,0.0003628931,0.0001050742,0.003499237,0.9780667,0.0166455],"study_design_scores_gemma":[0.000006590713,0.000004222451,0.002580156,0.00007792439,0.000006029583,0.00001552141,0.00009547505,0.0001473205,0.0002139338,0.000335611,0.9965011,0.00001605886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003200263,0.00373566,0.007831366,0.01710347,0.003609495,0.001999073,0.6549686,0.004021958,0.3035302],"genre_scores_gemma":[0.01545761,0.007455111,0.03160169,0.003019536,0.0003654911,0.001622771,0.5332024,0.003154038,0.4041213],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05430922,"threshold_uncertainty_score":0.3940428,"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."}}