{"id":"W4365147640","doi":"10.1515/iupac.94.0587","title":"Isomerization","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); Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000285973,0.0004469705,0.0005297767,0.0001310497,0.0001367458,0.0001263389,0.0007983883,0.0007135175,0.006792653],"category_scores_gemma":[0.001638248,0.0004597066,0.0001790524,0.0003645381,0.0001277107,0.00005985988,0.0003854909,0.00116037,0.0000535515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006323073,"about_ca_system_score_gemma":0.001078693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002839115,"about_ca_topic_score_gemma":0.0004628164,"domain_scores_codex":[0.9965068,0.00002270988,0.0004776579,0.0006359608,0.00175082,0.0006060508],"domain_scores_gemma":[0.9978524,0.000104347,0.0002254585,0.001126449,0.0004486433,0.0002426859],"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":[0.00004249691,0.0001300219,0.000007454899,0.001088742,0.0001249642,0.0001746465,0.000005982233,0.000007638543,0.00118373,0.000001718926,0.9963252,0.0009073947],"study_design_scores_gemma":[0.000498317,0.00002355212,0.000002328408,0.0002327817,0.00006858548,0.00001359739,0.00002966346,0.00005027819,0.001692891,0.00008588747,0.9968722,0.0004299184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001246433,0.0001723855,0.00001745712,0.000422576,0.0002825772,0.00008702291,0.9981567,0.0003199415,0.0004167097],"genre_scores_gemma":[0.000003977272,0.001128686,0.00002416258,0.00006808528,0.001490416,0.00002868978,0.9872838,0.00009594781,0.009876284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01087294,"threshold_uncertainty_score":0.9997855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182255998692405,"score_gpt":0.4227755967283024,"score_spread":0.4009530367413783,"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."}}