{"id":"W4365149355","doi":"10.1515/iupac.94.0536","title":"Homolysis","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Epistemology; Field (mathematics); Linguistics; Philosophy; Political science; Mathematics; Law","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":[0.00134677,0.003140148,0.001868956,0.003106752,0.001714745,0.003644461,0.003737373,0.002214775,0.1511206],"category_scores_gemma":[0.004649437,0.000777326,0.00253306,0.003993725,0.0005784762,0.002287798,0.002837459,0.002901923,0.3052297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453148,"about_ca_system_score_gemma":0.002490301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439428,"about_ca_topic_score_gemma":0.03274506,"domain_scores_codex":[0.9983948,0.0002571449,0.0001668743,0.0005821385,0.000369593,0.00022948],"domain_scores_gemma":[0.99817,0.0003879989,0.0001384804,0.000786477,0.0004012479,0.000115694],"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":[0.0001088144,0.00003154173,0.0004551872,0.0006802049,0.00003066306,0.00002161527,0.00001809961,0.0002440421,0.0003189125,0.0007731249,0.9917399,0.005578026],"study_design_scores_gemma":[0.0001461884,0.00002855007,0.002219973,0.000346522,0.00003589604,0.00009592491,0.0000615136,0.0004860045,0.001018694,0.003074096,0.9924411,0.00004553459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002578263,0.0003058897,0.0003435595,0.00008173852,0.00007753533,0.00003641588,0.994122,0.001487865,0.003287246],"genre_scores_gemma":[0.0002837733,0.0001168662,0.0005122056,0.00008297731,0.000009211738,0.00008990298,0.9972989,0.0001509345,0.001455211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1511206,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226569975169753,"score_gpt":0.4244525265761517,"score_spread":0.4021868268244542,"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."}}