{"id":"W4239536690","doi":"10.1515/iupac.81.0244","title":"Deterministic Model","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":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; 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":[0.00183901,0.002017747,0.001473204,0.00170521,0.0007864026,0.002996207,0.004279324,0.002434628,0.1035533],"category_scores_gemma":[0.01185768,0.0007198505,0.003146175,0.002807246,0.000548492,0.002483743,0.001603037,0.002892261,0.08572423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002323132,"about_ca_system_score_gemma":0.002750353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03506824,"about_ca_topic_score_gemma":0.04817271,"domain_scores_codex":[0.9984362,0.0003689202,0.0001396027,0.0006759217,0.0002038994,0.0001755044],"domain_scores_gemma":[0.9964629,0.001694944,0.0001835684,0.0009114632,0.0005989693,0.0001483212],"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":[0.0003673686,0.0001193578,0.00611167,0.0008427997,0.0001885911,0.000118488,0.00004259943,0.05611955,0.0001552637,0.01302115,0.893965,0.02894814],"study_design_scores_gemma":[0.0008644955,0.0001059009,0.004883356,0.0004632901,0.0001597787,0.0003774739,0.0001391892,0.2373062,0.0005303695,0.06883249,0.6862331,0.0001044681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002927381,0.0007694537,0.01188395,0.00153519,0.0003722869,0.0001742373,0.9694039,0.005238563,0.007695029],"genre_scores_gemma":[0.01742542,0.0006362125,0.0128935,0.0007090036,0.0001146202,0.0004686332,0.9578261,0.0005733573,0.009353127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1035533,"threshold_uncertainty_score":0.3464205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844653383771528,"score_gpt":0.4006041166930578,"score_spread":0.3821575828553425,"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."}}