{"id":"W4255459283","doi":"10.1515/iupac.76.0287","title":"Maximum Velocity (Maximum Rate)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Hazard; Multidisciplinary approach; Relation (database); Toxicology; Computer science; Medicine; Chemistry; Pharmacology; Data mining; Biology; Political science; Linguistics; Law; Philosophy","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":[0.0008916575,0.002579612,0.001632218,0.005213365,0.0009023473,0.003780385,0.002749767,0.001857447,0.08440725],"category_scores_gemma":[0.008317316,0.0007951875,0.001872053,0.007922013,0.000487696,0.003717344,0.002201585,0.002164247,0.1391416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506195,"about_ca_system_score_gemma":0.001954492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244826,"about_ca_topic_score_gemma":0.03251363,"domain_scores_codex":[0.9982324,0.0001946624,0.0003549448,0.0006499002,0.0003760747,0.0001920176],"domain_scores_gemma":[0.9967463,0.0008819088,0.000475991,0.0009000038,0.0007920895,0.0002037065],"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":[0.0001098431,0.00002666396,0.002360346,0.00132586,0.0000354779,0.00002764318,0.00004461755,0.0005389488,0.0001592114,0.001188579,0.9857897,0.008393139],"study_design_scores_gemma":[0.0001101063,0.0000199723,0.005109054,0.0004968211,0.00002362032,0.00008218052,0.00009205326,0.0006036437,0.0003490895,0.002302618,0.9907629,0.00004801362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001864414,0.0001885785,0.0001831115,0.00004606398,0.00004575806,0.00001374433,0.9972317,0.0007686128,0.001336041],"genre_scores_gemma":[0.0006704982,0.000190712,0.0006921543,0.000057497,0.00001798466,0.00007755143,0.997184,0.0002115922,0.0008979804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08440725,"threshold_uncertainty_score":0.2823703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460135963079296,"score_gpt":0.3362197463948747,"score_spread":0.3216183867640817,"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."}}