{"id":"W4365142131","doi":"10.1515/iupac.94.0476","title":"Exciplex","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); Computer science; Epistemology; Chemistry; 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":[0.001074614,0.002399649,0.001391427,0.003097374,0.001152889,0.003105658,0.002475318,0.001700565,0.2497239],"category_scores_gemma":[0.006507515,0.0007240404,0.001583117,0.00477765,0.0005045857,0.002806648,0.003038758,0.002199149,0.4389915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187114,"about_ca_system_score_gemma":0.00178948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128225,"about_ca_topic_score_gemma":0.02658882,"domain_scores_codex":[0.9987179,0.0002340026,0.0001899757,0.000449504,0.0002436988,0.0001649096],"domain_scores_gemma":[0.9976529,0.0006211231,0.0001658367,0.0008340364,0.0005476473,0.0001783988],"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":[0.0000317821,0.000009300431,0.000159028,0.0002338575,0.000006388661,0.000009882834,0.000009893131,0.00005084776,0.0000733938,0.0002758357,0.9965028,0.002637074],"study_design_scores_gemma":[0.00007704136,0.00001323269,0.001166263,0.0001594245,0.000008764159,0.00005361229,0.0000451082,0.0001647401,0.0002108164,0.001123773,0.9969609,0.00001621209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001354598,0.0001251052,0.0002236475,0.0001130367,0.00009955512,0.00002895982,0.9950949,0.001125809,0.003053602],"genre_scores_gemma":[0.0002077771,0.00007969884,0.0004443494,0.0001622371,0.00001810116,0.0001167997,0.9966833,0.0002428088,0.002044932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2497239,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102481078723052,"score_gpt":0.4425631208132259,"score_spread":0.4115383100259953,"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."}}