{"id":"W4235530611","doi":"10.1515/iupac.80.0143","title":"Peritectoid Reaction","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminology; Glossary; Confusion; Chemical nomenclature; Solubility; Nomenclature; Order (exchange); Diversity (politics); Chemistry; Polymer science; Philosophy; Sociology; Organic chemistry; Linguistics; Psychology; Anthropology; Taxonomy (biology); Business","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":[0.00104955,0.002008965,0.001448191,0.003134343,0.001143547,0.002824905,0.002986733,0.002130546,0.06567231],"category_scores_gemma":[0.005279433,0.0005230124,0.002509153,0.004354929,0.0004927548,0.002470937,0.001902179,0.002249721,0.06913474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737381,"about_ca_system_score_gemma":0.002860545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01396662,"about_ca_topic_score_gemma":0.02981987,"domain_scores_codex":[0.9984958,0.0002010027,0.000207131,0.0005751924,0.0003467528,0.0001741175],"domain_scores_gemma":[0.9985309,0.0004659338,0.0002339599,0.0003951676,0.0002835252,0.00009063209],"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":[0.0006119685,0.00006953924,0.004807497,0.005377539,0.0001626114,0.000102085,0.00005577567,0.001582033,0.0007935851,0.003389846,0.9693429,0.01370449],"study_design_scores_gemma":[0.0002755859,0.00004963658,0.005769576,0.000688429,0.00009822955,0.0001531562,0.00008441832,0.0009299114,0.001226154,0.003715345,0.9869617,0.00004778336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006897591,0.0006111262,0.0002262338,0.0001011311,0.00005419788,0.00004719777,0.9945215,0.0005814911,0.00316735],"genre_scores_gemma":[0.00172701,0.00042955,0.0007776248,0.0001230238,0.00001054259,0.0001448897,0.9952611,0.00009241513,0.001433832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06567231,"threshold_uncertainty_score":0.2196957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021147046444625,"score_gpt":0.3503980397116659,"score_spread":0.3401865692472197,"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."}}