{"id":"W4365142157","doi":"10.1515/iupac.94.0717","title":"Parallel Reaction","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; Abandonment (legal); Meaning (existential); Field (mathematics); Computer science; Epistemology; Linguistics; Philosophy; Mathematics; Political science","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":[0.001280484,0.003915275,0.002143827,0.002722021,0.001967845,0.004513504,0.004964035,0.00264332,0.2467311],"category_scores_gemma":[0.005790073,0.001050262,0.002725895,0.004111845,0.0005352591,0.00336576,0.00267732,0.003355357,0.3826608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913625,"about_ca_system_score_gemma":0.002810704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01684875,"about_ca_topic_score_gemma":0.03418154,"domain_scores_codex":[0.998032,0.0002924005,0.0001872227,0.0008455034,0.0004290155,0.0002138232],"domain_scores_gemma":[0.9983186,0.0003704081,0.0001357748,0.0006668788,0.000365871,0.0001426149],"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":[0.0001635935,0.00003034706,0.0004234905,0.0008886763,0.00003511911,0.0000209719,0.00001540451,0.0003049472,0.000279693,0.001074575,0.9917718,0.004991549],"study_design_scores_gemma":[0.0001685027,0.00002673489,0.001343627,0.0002655409,0.00003803529,0.00006531295,0.00004109623,0.000593135,0.0007221255,0.003535905,0.993161,0.00003892498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002138398,0.0002909397,0.0003309972,0.0001026987,0.00008740877,0.00003959684,0.991998,0.001841284,0.005095209],"genre_scores_gemma":[0.0003443284,0.0001369927,0.0005525295,0.0001015579,0.000009407874,0.00008090414,0.9965684,0.0002370858,0.001968707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2467311,"threshold_uncertainty_score":0.8253977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869672989779304,"score_gpt":0.4243958215996688,"score_spread":0.3956990917018758,"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."}}