{"id":"W4255811736","doi":"10.1515/iupac.79.1476","title":"Inducer","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001521705,0.0002622621,0.0002789318,0.0001272806,0.00003297908,0.00004884227,0.0002874536,0.0001559965,0.001067414],"category_scores_gemma":[0.00008239274,0.0002066215,0.00008222993,0.0001281414,0.00004173671,0.00008075988,0.00007491604,0.0003824046,0.00000968935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502555,"about_ca_system_score_gemma":0.0001039721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001181206,"about_ca_topic_score_gemma":0.0000450055,"domain_scores_codex":[0.9986075,0.00001004965,0.0001904813,0.0001809549,0.0005715458,0.0004394585],"domain_scores_gemma":[0.9991816,0.00003942708,0.00001792129,0.0004808391,0.0001035022,0.0001767133],"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":[0.000004512295,0.00002441215,5.542889e-7,0.0001262982,0.00007648293,0.00002208703,0.000003414607,0.0002689713,0.0002211996,0.000004767062,0.9784663,0.02078099],"study_design_scores_gemma":[0.0002278351,0.00003276068,0.00001955141,0.000160667,0.00001482949,0.000002309972,0.000001845363,0.0003140889,0.0001895062,0.0007280373,0.9980325,0.0002760603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001433689,0.0005167681,0.0001567774,0.00007174322,0.0004831387,0.00008819981,0.9969589,0.0002245812,0.00006623923],"genre_scores_gemma":[0.002119019,0.001019003,0.00001883792,0.00002094885,0.0008039759,0.00001305148,0.9959176,0.00005905075,0.00002853778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02050493,"threshold_uncertainty_score":0.9998457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254960627419834,"score_gpt":0.365975300246924,"score_spread":0.3534256939727257,"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."}}