{"id":"W4240001239","doi":"10.1515/iupac.80.0113","title":"Isobar","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Glossary; Chemical nomenclature; Terminology; Confusion; Solubility; Isobar; Order (exchange); Chemistry; Philosophy; Physical chemistry; Organic chemistry; Physics; Linguistics; Psychology; Nuclear physics","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":[0.001517849,0.003098355,0.001688512,0.005731173,0.001362517,0.004058992,0.003937469,0.002323935,0.07487709],"category_scores_gemma":[0.00994565,0.0008101931,0.002537357,0.006702613,0.0006538685,0.003680257,0.003141919,0.002837558,0.1473754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312975,"about_ca_system_score_gemma":0.002814993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01321044,"about_ca_topic_score_gemma":0.02872971,"domain_scores_codex":[0.9978753,0.0002961777,0.0002826368,0.0008524105,0.0004241598,0.0002692039],"domain_scores_gemma":[0.9971526,0.0006078377,0.0002798797,0.0009465447,0.0008049632,0.0002081469],"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":[0.0001911068,0.00004613934,0.002114948,0.001392182,0.00007758503,0.00004523631,0.00004712327,0.0003128019,0.0002504803,0.001145702,0.9861242,0.008252633],"study_design_scores_gemma":[0.0002000709,0.00002649731,0.004357819,0.00044918,0.00005149675,0.0001115065,0.0001198269,0.0004629769,0.0005129388,0.003187496,0.9904795,0.00004065082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003141478,0.000310349,0.0003059159,0.0001166889,0.00009658856,0.00003415831,0.9956201,0.001296888,0.001905226],"genre_scores_gemma":[0.0005477082,0.0001604752,0.0006383499,0.00008149046,0.00001820402,0.0000908265,0.9973943,0.000133477,0.000935115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07487709,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251676350171989,"score_gpt":0.3894044380116137,"score_spread":0.3768876745098939,"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."}}