{"id":"W7100397977","doi":"","title":"COAL RANK VARIATIONS IN THE TELKWA COAILFIELD, CENTRAL BRITISH COLUMBIA (93L/11)","year":2010,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Rank (graph theory); Sample (material); Period (music); Drainage basin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002710176,0.0001644129,0.0002889096,0.002271703,0.001286947,0.00164324,0.000543913,0.0002845955,0.004619271],"category_scores_gemma":[0.001114558,0.0001700713,0.0001241381,0.005945737,0.0006007805,0.0002974031,0.000556231,0.0003321945,0.000736755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008111163,"about_ca_system_score_gemma":0.004103948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9632413,"about_ca_topic_score_gemma":0.9912916,"domain_scores_codex":[0.9995186,0.00004349233,0.00001869163,0.00008199764,0.0001696396,0.0001675197],"domain_scores_gemma":[0.9985583,0.0001372762,0.0001297197,0.0000518764,0.0009418635,0.0001809176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003456807,0.00006888794,0.9433187,0.0000953391,0.0001062965,0.0004604408,0.003790108,0.001925827,0.002921429,0.001062686,0.01088398,0.03502057],"study_design_scores_gemma":[0.000001693473,0.00000542472,0.9950854,0.0000069406,0.000004526441,0.00002637483,0.002371908,0.0002996553,0.0001162779,0.00001896974,0.002056445,0.000006312145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877716,0.000231522,0.00008598193,0.0001082263,0.000005016896,0.000009835925,0.004763368,0.00002615846,0.006998222],"genre_scores_gemma":[0.9929699,0.0000556473,0.0001128426,0.00001507383,0.000001611065,0.000004921234,0.001620385,0.00001346473,0.005206068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03675872,"threshold_uncertainty_score":0.07395035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008099221203622851,"score_gpt":0.1947570205470085,"score_spread":0.1866577993433856,"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."}}