{"id":"W4365147775","doi":"10.1515/iupac.94.0348","title":"Colligation","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); Field (mathematics); Cognate; 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":[0.002301232,0.003422689,0.001858886,0.005430743,0.00229978,0.004864976,0.003976069,0.002335759,0.1538203],"category_scores_gemma":[0.01233901,0.0008578991,0.002478965,0.00581673,0.0007726313,0.003674041,0.004860106,0.003496173,0.3192158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192637,"about_ca_system_score_gemma":0.004203697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02643588,"about_ca_topic_score_gemma":0.06527352,"domain_scores_codex":[0.9964811,0.0006441479,0.0004019253,0.001255054,0.0007811509,0.0004365186],"domain_scores_gemma":[0.9945364,0.001213473,0.00029448,0.002118407,0.001459347,0.0003779493],"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":[0.00003908664,0.00001339135,0.0004780713,0.0002518832,0.0000146334,0.00001775696,0.00001861524,0.0001060668,0.00006747501,0.0005480846,0.9950798,0.003365104],"study_design_scores_gemma":[0.00008158141,0.00001271099,0.001181058,0.0002676916,0.00001834995,0.00006414278,0.00009525634,0.0004090426,0.0002703983,0.002013722,0.995559,0.00002703685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002348229,0.0002371608,0.0003903055,0.0002083974,0.0001909641,0.00005003073,0.9926865,0.001894669,0.004107129],"genre_scores_gemma":[0.0002847494,0.00008461976,0.0006870856,0.0001196661,0.00001896098,0.0001047704,0.9967394,0.0002152501,0.001745293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1538203,"threshold_uncertainty_score":0.51458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455068105444265,"score_gpt":0.4324698116962309,"score_spread":0.4079191306417883,"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."}}