{"id":"W4365147903","doi":"10.1515/iupac.94.0336","title":"Chemoselectivity","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); Computer science; Epistemology; Linguistics; Philosophy; Political science; Mathematics","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":[0.0005387012,0.0006149737,0.0007786804,0.0001214453,0.0001812302,0.0001413871,0.001096869,0.000964873,0.006217803],"category_scores_gemma":[0.002648194,0.0006306751,0.0002822221,0.0004444935,0.000185223,0.00006291764,0.0006047135,0.002221924,0.00005403158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208529,"about_ca_system_score_gemma":0.001874172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007167815,"about_ca_topic_score_gemma":0.001661443,"domain_scores_codex":[0.9955334,0.00003133684,0.0004835087,0.0008994132,0.00212788,0.0009244283],"domain_scores_gemma":[0.9970049,0.0002044241,0.0002384457,0.001648547,0.000557481,0.0003462105],"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":[0.00007312201,0.0002633581,0.00001285708,0.001334567,0.0002035154,0.0003269899,0.000005361207,0.000002374999,0.001084578,9.071219e-7,0.9954032,0.001289173],"study_design_scores_gemma":[0.000626938,0.00003054961,0.000005159601,0.0002513525,0.00008408797,0.00003147614,0.00001823503,0.00002890584,0.00500223,0.0001372754,0.9931958,0.0005880472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004513178,0.0001925334,0.000005248407,0.0003869923,0.0002439485,0.0001040749,0.9974587,0.0004273478,0.0007298416],"genre_scores_gemma":[0.00001388703,0.0006312084,0.00002276461,0.00005567394,0.001784073,0.00003882302,0.9866295,0.0001149648,0.01070906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01082915,"threshold_uncertainty_score":0.9996145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342612543421168,"score_gpt":0.4274227859814027,"score_spread":0.403996660547191,"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."}}