{"id":"W4365147773","doi":"10.1515/iupac.94.0809","title":"Ritchie Equation","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); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; Political science; Pure mathematics","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":[0.0019604,0.001517676,0.001980735,0.002824061,0.00126795,0.00428417,0.003814017,0.002261614,0.1591633],"category_scores_gemma":[0.01465506,0.0006764231,0.002525426,0.003960311,0.0006360839,0.004946716,0.002391316,0.003622329,0.1759976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614094,"about_ca_system_score_gemma":0.002878098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01583059,"about_ca_topic_score_gemma":0.02457083,"domain_scores_codex":[0.9975521,0.0003992727,0.0002549243,0.0008058173,0.0007364341,0.0002513539],"domain_scores_gemma":[0.997264,0.0009632799,0.0001237265,0.0008013817,0.000760803,0.00008668593],"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":[0.000113387,0.00005280174,0.002113419,0.0004951052,0.00006585933,0.00008606781,0.00007025856,0.006284042,0.0002792349,0.05400231,0.8352265,0.101211],"study_design_scores_gemma":[0.000123059,0.00003482652,0.00174443,0.0003870625,0.00006044464,0.000376165,0.000120323,0.05073743,0.0008468207,0.09540451,0.8500878,0.00007724959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005491672,0.009440734,0.1657006,0.004563704,0.003119622,0.0006538283,0.6293343,0.01318372,0.1685118],"genre_scores_gemma":[0.04246682,0.006625322,0.1218276,0.002314996,0.001011263,0.001489631,0.6771361,0.00595308,0.1411753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1591633,"threshold_uncertainty_score":0.5324543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824435359163684,"score_gpt":0.4351511135994545,"score_spread":0.3969067600078176,"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."}}