{"id":"W4254637546","doi":"10.1515/iupac.81.0053","title":"Algal Bloom","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); Environmental risk assessment; Ecology; Computer science; Environmental science; Risk assessment; 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":[0.0009836756,0.001657883,0.001245908,0.003755326,0.0009671343,0.002533606,0.002298268,0.001569249,0.06020317],"category_scores_gemma":[0.005501207,0.0006300053,0.001218994,0.006489539,0.0003156285,0.001833909,0.002319417,0.001720935,0.1015339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981646,"about_ca_system_score_gemma":0.00220584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02972334,"about_ca_topic_score_gemma":0.05684305,"domain_scores_codex":[0.9988263,0.0001563121,0.0001733355,0.0003798073,0.0003100169,0.0001541619],"domain_scores_gemma":[0.9975727,0.0004490616,0.0003158214,0.0006439047,0.0008027923,0.0002155799],"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":[0.00006736536,0.00001715948,0.002555216,0.0008101881,0.00003424129,0.00002686282,0.00002735442,0.0003053349,0.0001566602,0.0007607692,0.9903609,0.004877977],"study_design_scores_gemma":[0.00009487413,0.00001012653,0.006082383,0.0003200027,0.00001972663,0.000053593,0.00006485458,0.00032886,0.0002762168,0.001202863,0.9915228,0.0000237686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001068528,0.00006153232,0.00005092138,0.00005377303,0.00001946609,0.000006384277,0.9987358,0.0001921137,0.0007730116],"genre_scores_gemma":[0.0002720111,0.00006297668,0.0002473288,0.00003942262,0.000004207024,0.00002633827,0.998655,0.00003206815,0.000660557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06020317,"threshold_uncertainty_score":0.2013996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008814257861709784,"score_gpt":0.3509594497099838,"score_spread":0.342145191848274,"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."}}