{"id":"W4365149234","doi":"10.1515/iupac.94.0308","title":"Captodative Effect","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; Abandonment (legal); Meaning (existential); 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":[0.002051101,0.00345742,0.001976077,0.003570333,0.00222278,0.005410943,0.004637869,0.00293463,0.2320234],"category_scores_gemma":[0.01019039,0.0009903791,0.002547474,0.004472136,0.0009466088,0.003878511,0.004276226,0.003666624,0.4341957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157164,"about_ca_system_score_gemma":0.00352935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01597209,"about_ca_topic_score_gemma":0.04122043,"domain_scores_codex":[0.9980881,0.0003964147,0.0001796447,0.0006394254,0.0003982833,0.0002981772],"domain_scores_gemma":[0.9959422,0.0009560664,0.000236811,0.001782931,0.0007534991,0.0003283969],"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":[0.00004949563,0.00001247012,0.0001491254,0.0002993244,0.00001107421,0.000009787026,0.00001352544,0.00006997991,0.00006159941,0.0003862547,0.997098,0.001839266],"study_design_scores_gemma":[0.0001349136,0.00001598614,0.0008036191,0.0002491149,0.00001892705,0.00004497947,0.00004486106,0.0002618249,0.0003444076,0.002108105,0.9959453,0.00002793558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001165506,0.0001471249,0.0002463454,0.0001528902,0.0001721244,0.0000440648,0.9927355,0.002722831,0.003662533],"genre_scores_gemma":[0.0002856915,0.00009230879,0.0006850671,0.0002102824,0.00002570726,0.0001756937,0.9959341,0.0005075812,0.002083491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2320234,"threshold_uncertainty_score":0.7761956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808991284355774,"score_gpt":0.4335468076074354,"score_spread":0.4154568947638776,"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."}}