{"id":"W4365147115","doi":"10.1515/iupac.94.0837","title":"Spin Adduct","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); Chemistry; Epistemology; Computer science; Linguistics; Philosophy; Mathematics; Political science; 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":[0.0004858085,0.0006483006,0.0007834355,0.0001512922,0.0001606695,0.0001597616,0.001358899,0.0009273619,0.009509167],"category_scores_gemma":[0.0024116,0.0006511956,0.000307524,0.0003720204,0.0001993494,0.00004467088,0.000696067,0.002052086,0.00009317468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009012963,"about_ca_system_score_gemma":0.001832081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007228811,"about_ca_topic_score_gemma":0.001673416,"domain_scores_codex":[0.9956227,0.00003168004,0.0006184442,0.0009105259,0.00187558,0.0009410522],"domain_scores_gemma":[0.9967216,0.000150132,0.0002574978,0.001960496,0.0005112528,0.000398996],"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":[0.00006519371,0.0001780438,0.000005446286,0.001579362,0.0002104043,0.0006493118,0.000006103536,0.000003401844,0.0005610304,0.000001672246,0.9950596,0.00168043],"study_design_scores_gemma":[0.0006716238,0.00003727968,0.000002526798,0.0004867317,0.00009839828,0.00003702574,0.00004232006,0.00001808103,0.001988382,0.0001178698,0.9958785,0.0006213186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000262257,0.0004385494,0.000004613018,0.0005059703,0.0003821701,0.0001161072,0.9972762,0.0003783648,0.0006357594],"genre_scores_gemma":[0.000002320006,0.00111677,0.00005429335,0.00007020301,0.002608011,0.00003814462,0.9805518,0.000128994,0.01542945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01672439,"threshold_uncertainty_score":0.9995939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796531804013012,"score_gpt":0.441980308627671,"score_spread":0.4140149905875409,"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."}}