{"id":"W4241970386","doi":"10.1515/iupac.81.0454","title":"Homeostasis","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; Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; 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":[0.001449884,0.001795865,0.001235958,0.003288217,0.001227416,0.003976103,0.002965363,0.002029532,0.1538002],"category_scores_gemma":[0.01126225,0.0005684131,0.001603875,0.004934027,0.0004451384,0.002949369,0.002660213,0.002288675,0.2261638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941381,"about_ca_system_score_gemma":0.002948179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01675574,"about_ca_topic_score_gemma":0.03292578,"domain_scores_codex":[0.9973305,0.000416478,0.0003174252,0.001009185,0.0006005627,0.0003258645],"domain_scores_gemma":[0.9959453,0.0008519521,0.0003741304,0.001196682,0.001306024,0.0003260599],"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":[0.00007800741,0.00002068249,0.001768454,0.0004734117,0.00002255484,0.00001976818,0.00002615312,0.0001497127,0.00008176712,0.001246719,0.9895825,0.006530151],"study_design_scores_gemma":[0.00006120154,0.00001201995,0.002707173,0.0003020279,0.00001550798,0.00006703744,0.00008008302,0.0002405401,0.0001951752,0.001768729,0.9945321,0.00001850117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002420833,0.0001666442,0.0002035385,0.0002327557,0.000095868,0.00002718105,0.9948583,0.0004534721,0.003720157],"genre_scores_gemma":[0.0005914952,0.00009935445,0.0004343665,0.0001747197,0.00001621309,0.00008162492,0.9960996,0.00007884319,0.002423844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1538002,"threshold_uncertainty_score":0.514513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432972632222189,"score_gpt":0.3850324594044099,"score_spread":0.370702733082188,"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."}}