{"id":"W2981320385","doi":"10.4095/295723","title":"GIS dataset of geology, Ware (94F), British Columbia","year":2015,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Archaeology; Geography; Cartography; Mining engineering; Physical geography","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":[0.000272388,0.0007256707,0.0006305468,0.004008983,0.0013009,0.001928754,0.001283177,0.0003481136,0.06495424],"category_scores_gemma":[0.001914076,0.0004328639,0.0002926178,0.01338744,0.000253838,0.0006303957,0.0007567786,0.0008380233,0.0312722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007527016,"about_ca_system_score_gemma":0.01304445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.942897,"about_ca_topic_score_gemma":0.969728,"domain_scores_codex":[0.9996251,0.00001690806,0.00003713414,0.00008927553,0.0001470173,0.00008448392],"domain_scores_gemma":[0.9981689,0.00007885358,0.00007824114,0.000147696,0.001362155,0.000163994],"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":[0.00004500402,0.00002107165,0.005697757,0.0001943628,0.0000182711,0.00006202601,0.000100166,0.0004495249,0.000188262,0.0008449432,0.9803244,0.0120542],"study_design_scores_gemma":[0.00006428388,0.000006950894,0.05786603,0.0002462069,0.00002521771,0.00005832652,0.0006467479,0.002023915,0.0005694731,0.0006416081,0.9378011,0.00005015652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001999233,0.00004983503,0.0001929397,0.00005638309,0.00001093193,0.00002695216,0.990166,0.0003417214,0.007156025],"genre_scores_gemma":[0.006859008,0.000151278,0.001106927,0.00003824097,0.000003837499,0.0001274742,0.9799825,0.0001594388,0.01157135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06495424,"threshold_uncertainty_score":0.2172936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450921188300446,"score_gpt":0.281866784922333,"score_spread":0.2473575730393286,"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."}}