{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002179636,0.0002370775,0.0002489253,0.0001119573,0.00005983825,0.00007479369,0.0008946977,0.0002041374,0.0004527292],"category_scores_gemma":[0.0001288924,0.0001763143,0.0001012083,0.0001628622,0.00006767697,0.0001589108,0.0005157327,0.0004285735,0.00001002862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004990401,"about_ca_system_score_gemma":0.0001127212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005239283,"about_ca_topic_score_gemma":0.00001739641,"domain_scores_codex":[0.998002,0.00002012564,0.000200418,0.0004600341,0.0009658538,0.0003515853],"domain_scores_gemma":[0.9988163,0.00005453562,0.00005634237,0.0008538465,0.00005234944,0.0001666895],"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":[0.00001023877,0.00007209077,4.312759e-7,0.00005151957,0.00001589588,0.00003020016,0.000002492139,0.00000169912,0.001983647,0.000009437406,0.9843119,0.01351039],"study_design_scores_gemma":[0.0002435938,0.00007275587,0.00002261477,0.0001182389,0.000005340886,0.00002380777,8.580129e-7,0.0001017003,0.0005672703,0.0001160383,0.9984894,0.0002383422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001022006,0.0002377464,0.005013548,0.0006493655,0.0004013036,0.000088897,0.9933646,0.0001087191,0.0000336381],"genre_scores_gemma":[0.00003696353,0.0008352938,0.0002806653,0.00007493427,0.0004304454,0.00001134315,0.9979447,0.00001567114,0.0003700344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01417748,"threshold_uncertainty_score":0.7189889,"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."}}