{"id":"W4251299268","doi":"10.1515/iupac.81.0581","title":"Median Tolerance Limit","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Biology; Data mining; Philosophy; Linguistics","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":[0.004756766,0.002378887,0.002937332,0.005802799,0.001230486,0.005596463,0.005322654,0.002927985,0.08814722],"category_scores_gemma":[0.03732896,0.0006039125,0.00307993,0.006773603,0.0008616816,0.004072032,0.002473417,0.00344612,0.09163428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002442299,"about_ca_system_score_gemma":0.003192237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051868,"about_ca_topic_score_gemma":0.01430555,"domain_scores_codex":[0.9942122,0.0009256692,0.0009927335,0.001939796,0.001455782,0.0004738423],"domain_scores_gemma":[0.9875554,0.005549772,0.0008260636,0.002805266,0.002860082,0.000403357],"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":[0.0003730288,0.0001068531,0.004741277,0.0015795,0.0001535484,0.00007269614,0.00003833811,0.004468888,0.0001945604,0.00286132,0.9507906,0.0346195],"study_design_scores_gemma":[0.0005307181,0.000151939,0.007728483,0.001206756,0.0001388201,0.0005354423,0.0002648653,0.01044497,0.001392722,0.02250438,0.9549595,0.0001413978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001538268,0.001179328,0.003263801,0.0005127102,0.0003369614,0.0001319737,0.984463,0.002245905,0.006328045],"genre_scores_gemma":[0.007047227,0.0006141805,0.005303587,0.0004316168,0.00009206818,0.0004239404,0.9827349,0.0004413953,0.002911258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08814722,"threshold_uncertainty_score":0.2948818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014089528691861,"score_gpt":0.3447691546431372,"score_spread":0.3346282593562186,"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."}}