{"id":"W4246362569","doi":"10.1515/iupac.87.0124","title":"Cassavism","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.001263854,0.001406315,0.001360798,0.00426151,0.001152312,0.004212761,0.002109749,0.001552668,0.1253089],"category_scores_gemma":[0.01055569,0.000617902,0.001380367,0.007242861,0.0004818107,0.002174189,0.002678176,0.001704898,0.1740072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501807,"about_ca_system_score_gemma":0.003455254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353644,"about_ca_topic_score_gemma":0.0478653,"domain_scores_codex":[0.9983503,0.0002812646,0.0002480942,0.0005574946,0.000366138,0.000196732],"domain_scores_gemma":[0.9962913,0.001007886,0.0004137143,0.0009837167,0.0009741921,0.0003292183],"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":[0.00008799154,0.00001052786,0.001236742,0.000795955,0.00002475644,0.00001824802,0.00002470406,0.0001335136,0.00006035275,0.0008421906,0.9918711,0.00489383],"study_design_scores_gemma":[0.0000936438,0.000009953327,0.001961562,0.0004179238,0.00001500285,0.0000405686,0.00004398844,0.0001498912,0.0001219663,0.001087589,0.9960418,0.0000162649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001148354,0.0001625938,0.0000818297,0.0001221404,0.00004071686,0.00001318802,0.997112,0.0004148862,0.001937816],"genre_scores_gemma":[0.0004546195,0.0001676964,0.0003238468,0.0001166065,0.00001527257,0.00006483129,0.9970978,0.0001216219,0.001637718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1253089,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538343088272189,"score_gpt":0.3973448392137077,"score_spread":0.3819614083309859,"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."}}