{"id":"W4365149470","doi":"10.1515/iupac.94.0420","title":"Distribution Ratio","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Distribution (mathematics); Computer science; Epistemology; Mathematics; Linguistics; Philosophy; 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":[0.001710139,0.002530925,0.001765277,0.004531668,0.001143192,0.004689893,0.003006673,0.00220301,0.2683607],"category_scores_gemma":[0.01441187,0.0005630857,0.002167285,0.005759654,0.0005073444,0.00371464,0.002803623,0.002870544,0.4677262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660542,"about_ca_system_score_gemma":0.001788709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169734,"about_ca_topic_score_gemma":0.01588589,"domain_scores_codex":[0.9973373,0.0004136347,0.0003209404,0.00100319,0.000575548,0.0003494305],"domain_scores_gemma":[0.9953973,0.001198572,0.0002978283,0.00160029,0.001220254,0.0002857464],"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":[0.00004653976,0.00001424824,0.0006099981,0.0001824199,0.00002041205,0.00001319617,0.000009518884,0.0001365759,0.00004194721,0.0004230534,0.9934963,0.005005844],"study_design_scores_gemma":[0.0001774438,0.00002336648,0.003061665,0.0002745197,0.00002293755,0.0001125411,0.00008598627,0.0007535039,0.0002712433,0.003272283,0.9919034,0.00004106009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001906364,0.0001348207,0.0002285182,0.0002130696,0.0001720681,0.00002807962,0.9947461,0.001242821,0.003043996],"genre_scores_gemma":[0.000712086,0.0001224588,0.00047508,0.0002005704,0.00006198271,0.0001111992,0.9951669,0.0002910189,0.002858701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2683607,"threshold_uncertainty_score":0.897756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00713700936556068,"score_gpt":0.3268786073364868,"score_spread":0.3197415979709262,"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."}}