{"id":"W4237388136","doi":"10.1515/iupac.68.0027","title":"Chain Initiation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Linguistics; Philosophy; Mathematics","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":[0.0009132252,0.004671025,0.002163017,0.00420667,0.001359968,0.00360706,0.0041423,0.002619785,0.06765894],"category_scores_gemma":[0.004907275,0.001053472,0.003358769,0.005664609,0.0004772539,0.002177967,0.001770802,0.002887716,0.1268179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905987,"about_ca_system_score_gemma":0.002719114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921519,"about_ca_topic_score_gemma":0.04560573,"domain_scores_codex":[0.9984342,0.0001698928,0.0001866879,0.0006303014,0.0003543559,0.000224499],"domain_scores_gemma":[0.9980714,0.0004094711,0.0002915794,0.0006498697,0.0004367872,0.0001408645],"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":[0.0003700189,0.0001004333,0.002444431,0.003048021,0.000135032,0.00005495824,0.00002788257,0.001658413,0.0006717183,0.001168247,0.979647,0.01067377],"study_design_scores_gemma":[0.0004529603,0.00009811323,0.007118275,0.0009436489,0.000168091,0.0002111084,0.00006323657,0.003372775,0.002284692,0.005256306,0.9799319,0.00009906379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004048751,0.0003857577,0.0002481775,0.0000453678,0.00004772926,0.00003238381,0.9963433,0.001065388,0.001426997],"genre_scores_gemma":[0.0004314289,0.0001672835,0.0004652789,0.00003685459,0.00000583679,0.00006377845,0.9981679,0.00006919639,0.0005924776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06765894,"threshold_uncertainty_score":0.2263417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009777928143074934,"score_gpt":0.3243282003605715,"score_spread":0.3145502722174966,"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."}}