{"id":"W4365149380","doi":"10.1515/iupac.94.0729","title":"Photolysis","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; Abandonment (legal); Meaning (existential); Field (mathematics); Computer science; Linguistics; Epistemology; Philosophy; Mathematics; 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":[0.0009292305,0.002440396,0.001619163,0.002264611,0.00124333,0.002353303,0.002904197,0.001781846,0.08693522],"category_scores_gemma":[0.002618346,0.000709502,0.001853899,0.00364812,0.0004000484,0.001693229,0.001676926,0.002435408,0.1937511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382598,"about_ca_system_score_gemma":0.001614895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466949,"about_ca_topic_score_gemma":0.03464113,"domain_scores_codex":[0.9989493,0.0001344618,0.000109398,0.0003889428,0.0002767406,0.0001410967],"domain_scores_gemma":[0.9987643,0.0002393015,0.0001231438,0.0004938,0.0003013525,0.00007817485],"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":[0.000156253,0.0000530557,0.0008109169,0.0009528706,0.00004380965,0.00002632009,0.00001737699,0.0003989169,0.0009773272,0.0006088086,0.9889036,0.007050803],"study_design_scores_gemma":[0.000157158,0.00004347426,0.005714791,0.000271568,0.00004809419,0.000119584,0.00005828467,0.0006636535,0.002569121,0.002501081,0.9877883,0.00006490483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003642736,0.0002381951,0.0002575012,0.00005154101,0.00005745047,0.00002805062,0.9955962,0.0009875101,0.002419236],"genre_scores_gemma":[0.0003153286,0.0001119977,0.0004575547,0.00005237735,0.000006184471,0.00006284034,0.9977255,0.00009762801,0.001170624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08693522,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288742631232939,"score_gpt":0.426883109842032,"score_spread":0.4039956835297027,"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."}}