{"id":"W4244779470","doi":"10.1515/iupac.88.0561","title":"Canal","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Agricultural safety and regulations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001524095,0.00148893,0.001274103,0.004192964,0.001059662,0.004222092,0.002623135,0.001969394,0.2105926],"category_scores_gemma":[0.01339619,0.0006352603,0.001668185,0.006629509,0.0004704235,0.003694566,0.002831073,0.001728543,0.2552063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882446,"about_ca_system_score_gemma":0.003306303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01635741,"about_ca_topic_score_gemma":0.02737256,"domain_scores_codex":[0.9974274,0.0004275531,0.0005021071,0.0008116929,0.0005485981,0.0002825614],"domain_scores_gemma":[0.9943681,0.001442229,0.0005376738,0.001448744,0.00191326,0.0002900259],"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":[0.00008296473,0.00001244367,0.0009700749,0.001247212,0.00002328405,0.00001973176,0.00003418473,0.0001219184,0.0001000515,0.001339688,0.988721,0.007327578],"study_design_scores_gemma":[0.00007025927,0.000009390918,0.001685644,0.0005960533,0.00001425132,0.00003794105,0.00007279839,0.0001148481,0.000144134,0.001190356,0.9960482,0.00001618588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001154057,0.0001493459,0.0001646824,0.0001477258,0.00006324976,0.00003374083,0.9954488,0.0004672683,0.003409862],"genre_scores_gemma":[0.0004158689,0.000179751,0.0004690707,0.0002151623,0.00001781824,0.0001388406,0.9960526,0.0001553737,0.002355474],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7894074,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935160700351156,"score_gpt":0.3721176730119058,"score_spread":0.3527660660083942,"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."}}