{"id":"W4365147871","doi":"10.1515/iupac.94.0553","title":"Identity 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; Meaning (existential); Abandonment (legal); Identity (music); Field (mathematics); Epistemology; Computer science; Linguistics; Philosophy; Mathematics; Political science; Aesthetics; Law; Pure 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000567899,0.000454273,0.0005548975,0.0001367527,0.0001718752,0.000180982,0.0009447135,0.0008288817,0.003598462],"category_scores_gemma":[0.002613861,0.0004810415,0.000243535,0.0003521472,0.0001317025,0.0001893712,0.0005209104,0.001766298,0.00008160638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228389,"about_ca_system_score_gemma":0.001016264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236471,"about_ca_topic_score_gemma":0.004623508,"domain_scores_codex":[0.9957832,0.00002854396,0.0005083494,0.0007174623,0.002328996,0.0006334733],"domain_scores_gemma":[0.9973052,0.0001340864,0.0002724053,0.001486679,0.0005318282,0.0002698209],"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":[0.00006066544,0.0001630403,0.000005490409,0.001171688,0.0001589038,0.0003036677,0.000005209458,0.000001124643,0.002682271,0.000002864352,0.9949198,0.0005252377],"study_design_scores_gemma":[0.0004861829,0.00001676917,0.000007019675,0.000291423,0.0001021523,0.00003063895,0.0000553986,0.00001151288,0.001429389,0.0002780427,0.9968634,0.0004280943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006880118,0.0001579963,0.000006678743,0.0003574919,0.0004768486,0.00008699288,0.9974359,0.0003456417,0.0004443845],"genre_scores_gemma":[0.000006896251,0.001275411,0.00001489465,0.00003657606,0.002016037,0.0000258947,0.9849303,0.00008171978,0.01161227],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01250565,"threshold_uncertainty_score":0.9997641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282744775508332,"score_gpt":0.4469690120222857,"score_spread":0.4186945344714525,"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."}}