{"id":"W4365142188","doi":"10.1515/iupac.94.0388","title":"Cycloreversion","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; 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":[0.001545124,0.003282484,0.001810418,0.003271693,0.001769289,0.004354116,0.004179036,0.002273455,0.1524431],"category_scores_gemma":[0.007053926,0.0006709574,0.002490969,0.004446593,0.0006942611,0.002737718,0.002903677,0.003394958,0.3110517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535462,"about_ca_system_score_gemma":0.002523944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0158668,"about_ca_topic_score_gemma":0.03302116,"domain_scores_codex":[0.9979308,0.000402975,0.0002200599,0.0007217216,0.0004375518,0.0002868827],"domain_scores_gemma":[0.9974537,0.0004589179,0.0001547293,0.001199093,0.0005407364,0.0001927048],"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":[0.00005940239,0.00002177181,0.0002571498,0.0003398504,0.00001675357,0.00001592189,0.00001211774,0.0001639557,0.000121467,0.0004895707,0.9955757,0.002926338],"study_design_scores_gemma":[0.0001659531,0.00003079208,0.001596562,0.000281826,0.00002495853,0.00007495807,0.00005146519,0.0005555194,0.0005501816,0.002484092,0.9941449,0.00003889957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002335467,0.0002139933,0.0002651504,0.0001404361,0.000151396,0.00004809614,0.9938933,0.001941769,0.00311243],"genre_scores_gemma":[0.0003107855,0.0000841689,0.0004977998,0.0001333847,0.00002224173,0.0001395009,0.9970221,0.0002278081,0.001562221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1524431,"threshold_uncertainty_score":0.5099728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174174967541792,"score_gpt":0.4200442888792506,"score_spread":0.3983025392038327,"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."}}