{"id":"W4365149626","doi":"10.1515/iupac.94.0419","title":"Distortion Interaction Model","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); Field (mathematics); Distortion (music); Abandonment (legal); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; 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":[0.002083168,0.003000331,0.00190084,0.002689621,0.001155593,0.003513889,0.005775324,0.002663635,0.09843951],"category_scores_gemma":[0.0099721,0.0006699912,0.003197871,0.00376237,0.0006449337,0.003021376,0.002160992,0.003932446,0.1036089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003005451,"about_ca_system_score_gemma":0.002938894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03801706,"about_ca_topic_score_gemma":0.05725436,"domain_scores_codex":[0.9980379,0.000477879,0.0001137896,0.0007480577,0.000403225,0.0002192244],"domain_scores_gemma":[0.9977735,0.0008671347,0.00008966597,0.0006931477,0.0004785586,0.00009807372],"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":[0.0003995635,0.0001454653,0.002257922,0.0006582683,0.0002004701,0.0001160167,0.00004164972,0.02607835,0.0002854421,0.01700447,0.8914023,0.06141014],"study_design_scores_gemma":[0.0004526059,0.0001633012,0.002959275,0.0004002217,0.00018886,0.0005810643,0.0001471004,0.2518529,0.001308825,0.09876446,0.6430439,0.0001374599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004250126,0.005221225,0.07246324,0.003356642,0.001052522,0.0004612918,0.8714663,0.01418149,0.02754707],"genre_scores_gemma":[0.02814346,0.001832554,0.03153218,0.001129137,0.0002322615,0.0008656402,0.9050964,0.001276637,0.02989169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09843951,"threshold_uncertainty_score":0.329313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461748348519139,"score_gpt":0.4480211478871915,"score_spread":0.4134036644020001,"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."}}