{"id":"W4365147779","doi":"10.1515/iupac.94.0715","title":"Oxidative Coupling","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); Epistemology; Computer science; Chemistry; Linguistics; Philosophy; Political science; Mathematics; Pure mathematics; Law","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":[0.0005248011,0.0006143925,0.0007632082,0.0001400619,0.000200272,0.0001590462,0.001127704,0.0008434153,0.006312194],"category_scores_gemma":[0.002375974,0.0006211473,0.0002488729,0.0003563249,0.0002125858,0.00006725338,0.0006608365,0.002067648,0.00006356352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029291,"about_ca_system_score_gemma":0.001560463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004673464,"about_ca_topic_score_gemma":0.0007708603,"domain_scores_codex":[0.9955337,0.00001549861,0.0005875171,0.0008624172,0.002143523,0.000857311],"domain_scores_gemma":[0.9969191,0.0002746807,0.0003001911,0.001478306,0.0006860003,0.0003417439],"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":[0.00007343161,0.0001567549,0.00000740082,0.001161886,0.000267537,0.0004385127,0.00001147049,0.0000303825,0.001635716,0.00000154297,0.9959571,0.0002582236],"study_design_scores_gemma":[0.000651072,0.00003164506,0.000001466724,0.0005328838,0.0001019995,0.00001502693,0.0001052705,0.0001906536,0.004023241,0.00009441021,0.9936646,0.0005877788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005066186,0.0003001621,0.00001331411,0.0002960603,0.0002719667,0.0001156831,0.9978092,0.000344001,0.000342979],"genre_scores_gemma":[0.00001004929,0.001035839,0.00003933123,0.00004439653,0.001687878,0.0000377012,0.9893516,0.0001195381,0.007673623],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008457571,"threshold_uncertainty_score":0.999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872898571625033,"score_gpt":0.427950124304192,"score_spread":0.3992211385879417,"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."}}