{"id":"W4365149653","doi":"10.1515/iupac.94.0443","title":"Electron-Pair Donor","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; Chemistry; Epistemology; Linguistics; Philosophy; Mathematics; Political science; 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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005262177,0.0007162867,0.0008375781,0.0001613675,0.0001937319,0.0001720379,0.001416753,0.0009967566,0.006230335],"category_scores_gemma":[0.001655269,0.0007200098,0.0003453055,0.0004010753,0.0001812835,0.00006635485,0.0005900071,0.002427162,0.00008522209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372767,"about_ca_system_score_gemma":0.002288079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006206819,"about_ca_topic_score_gemma":0.001540945,"domain_scores_codex":[0.9949175,0.00003741941,0.0006420807,0.0009775499,0.002184067,0.001241386],"domain_scores_gemma":[0.9966738,0.0001984049,0.0002722926,0.001903766,0.0005320813,0.0004196886],"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":[0.0001138435,0.0002157976,0.00001252901,0.001334552,0.0002832922,0.0004192387,0.000006034651,0.000004431727,0.0009038253,0.000002400366,0.9961908,0.00051323],"study_design_scores_gemma":[0.000781122,0.00006278102,0.000002397521,0.0002976453,0.0001121908,0.00003773464,0.00002554147,0.00002297935,0.005708388,0.0001479527,0.9921222,0.0006790489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005769306,0.0004753945,0.000004437885,0.000793624,0.0002639992,0.0001355738,0.996748,0.0004892878,0.0005127243],"genre_scores_gemma":[0.000006727732,0.001003483,0.00003222954,0.00008717982,0.002356124,0.00005611148,0.9776418,0.0001462256,0.01867016],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01910627,"threshold_uncertainty_score":0.9998743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824656621024793,"score_gpt":0.4148534569127454,"score_spread":0.3966068907024975,"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."}}