{"id":"W4365149228","doi":"10.1515/iupac.94.0913","title":"Wavefunction","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); Epistemology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009160523,0.003103415,0.001629266,0.003062693,0.001142458,0.00261412,0.003902585,0.002140031,0.1491857],"category_scores_gemma":[0.004350719,0.0007946248,0.00182455,0.004962661,0.0004436304,0.002508614,0.002517224,0.002730754,0.2982137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422161,"about_ca_system_score_gemma":0.00185574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01636604,"about_ca_topic_score_gemma":0.03721712,"domain_scores_codex":[0.9991233,0.0001449922,0.00009786739,0.0002467673,0.0002697131,0.0001172748],"domain_scores_gemma":[0.9986238,0.0003119983,0.00009145953,0.0005184476,0.0003508095,0.0001034155],"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":[0.00004223816,0.00001871071,0.0002547346,0.0003751694,0.00001680088,0.00001458628,0.00001149178,0.0002800921,0.0001522962,0.0008025044,0.9939778,0.004053524],"study_design_scores_gemma":[0.0001475355,0.00002606996,0.001800477,0.0002596621,0.00002146693,0.00008732665,0.00005176524,0.001168895,0.0006460586,0.005682324,0.9900628,0.00004555854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001428262,0.0001334184,0.0004292436,0.00006473388,0.00005234761,0.00001890873,0.9959891,0.001517835,0.001651578],"genre_scores_gemma":[0.0002126284,0.00007652382,0.0005199547,0.00004970694,0.000006499396,0.0000576709,0.9979533,0.0001814534,0.0009422308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1491857,"threshold_uncertainty_score":0.4990759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537472510489536,"score_gpt":0.4198054000339932,"score_spread":0.3944306749290979,"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."}}