{"id":"W4365147160","doi":"10.1515/iupac.94.0690","title":"Nhomo","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); Epistemology; Computer science; 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":[0.0009557442,0.002121237,0.001370534,0.00283996,0.00111637,0.00213679,0.003255001,0.001651024,0.1248596],"category_scores_gemma":[0.004382699,0.0005493012,0.001360745,0.003880082,0.0004392561,0.002097822,0.002417859,0.0018598,0.2622206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133757,"about_ca_system_score_gemma":0.001738552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02307582,"about_ca_topic_score_gemma":0.06140607,"domain_scores_codex":[0.9989535,0.0002107854,0.00010764,0.0003540018,0.0002142629,0.0001598878],"domain_scores_gemma":[0.9984585,0.0003113216,0.0001191116,0.0005288851,0.0004337386,0.0001483808],"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":[0.00004994701,0.00001981986,0.0003458837,0.000311155,0.00001368936,0.00001548145,0.00001631858,0.0001239197,0.00009570214,0.0003911763,0.9954184,0.003198438],"study_design_scores_gemma":[0.0001263904,0.00002371349,0.002239558,0.0002141566,0.00001645727,0.00006983754,0.00008510832,0.0004538203,0.0002810826,0.00155112,0.994909,0.00002973019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000185226,0.00009149699,0.0001603658,0.00007981285,0.00005147088,0.00002296298,0.9963915,0.0008575859,0.002159505],"genre_scores_gemma":[0.0001966092,0.00004109586,0.0003008601,0.00006645195,0.000008231786,0.00006091074,0.998173,0.000078312,0.001074505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1248596,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494317992235679,"score_gpt":0.4327560005099623,"score_spread":0.4078128205876055,"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."}}