{"id":"W4365142315","doi":"10.1515/iupac.94.0678","title":"Molecular Rearrangement","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Abandonment (legal); Meaning (existential); Field (mathematics); Computer science; Chemistry; Epistemology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004379774,0.0005573597,0.0006239635,0.0001339461,0.0001158136,0.0001326575,0.001079653,0.0006885292,0.006064933],"category_scores_gemma":[0.001244947,0.000570992,0.0002392696,0.0003430813,0.0001418324,0.00003668118,0.0006353526,0.001423914,0.00004112055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008705171,"about_ca_system_score_gemma":0.00112998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000530323,"about_ca_topic_score_gemma":0.0005174549,"domain_scores_codex":[0.995385,0.00003132349,0.0005258977,0.0008002744,0.002451545,0.0008059528],"domain_scores_gemma":[0.9970781,0.00007872447,0.00020564,0.001807488,0.0004939839,0.0003360801],"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":[0.00005426135,0.0001759012,0.000002815499,0.001314905,0.0002813801,0.001259421,0.000005262336,0.00001255182,0.003957171,0.000003381723,0.9920071,0.0009258906],"study_design_scores_gemma":[0.0006785251,0.00003402045,9.237816e-7,0.0003688014,0.0001150598,0.00001701871,0.0000344609,0.00002180948,0.005124578,0.00009674278,0.992983,0.0005250788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003495494,0.0004434237,0.000009422447,0.0005522951,0.0002303044,0.0001313212,0.9968958,0.0002862268,0.00110164],"genre_scores_gemma":[0.000005910221,0.0008961697,0.00003361916,0.000115751,0.0008915247,0.00005256267,0.9927707,0.0001164802,0.005117221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006023812,"threshold_uncertainty_score":0.9996741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146368624952757,"score_gpt":0.4200750036173907,"score_spread":0.3986113173678631,"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."}}