{"id":"W2982001306","doi":"10.4095/226026","title":"Case study 7. Classification of remotely sensed imagery for surficial geological mapping in Canada's North","year":2008,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Cartography; Geology; Remote sensing; Geologic map; Physical geography; 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":[0.000400126,0.0003562105,0.000249108,0.001407257,0.003593043,0.001369801,0.0008381798,0.0007768032,0.001833452],"category_scores_gemma":[0.001224148,0.0001829005,0.0003198741,0.004126666,0.0007797081,0.0003624435,0.0005340857,0.0005131471,0.0004025543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01309248,"about_ca_system_score_gemma":0.01955291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909911,"about_ca_topic_score_gemma":0.9970289,"domain_scores_codex":[0.9993469,0.00003789022,0.00001987994,0.00006522045,0.0002478422,0.0002823375],"domain_scores_gemma":[0.9991876,0.0000849761,0.00004209872,0.00005019345,0.0005203116,0.0001148823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009043212,0.0008960088,0.56068,0.0007597072,0.0002048151,0.02065642,0.02045774,0.03642336,0.02388131,0.01112032,0.0841336,0.2398824],"study_design_scores_gemma":[0.0001209184,0.0001990914,0.7123088,0.0002654476,0.0001802136,0.002895107,0.07925145,0.03615156,0.01905635,0.001550934,0.1479044,0.0001158038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9563625,0.0002847255,0.00344906,0.001046258,0.00003600822,0.0004692202,0.00773783,0.0002430064,0.03037132],"genre_scores_gemma":[0.9575344,0.0002818109,0.01047059,0.0002218684,0.000006678061,0.00008634676,0.005525411,0.00005933921,0.02581353],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01309248,"threshold_uncertainty_score":0.09499305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062449404560049,"score_gpt":0.276088439154866,"score_spread":0.1698434986988611,"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."}}