{"id":"W2911227468","doi":"10.1002/etc.4382","title":"Creation of a Curated Aquatic Toxicology Database: EnviroTox","year":2019,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Health and Environmental Sciences Institute","keywords":"Aquatic toxicology; Computer science; Database; Chemical toxicity; Set (abstract data type); Data mining; Toxicity; Chemistry","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":[0.003575519,0.001727503,0.001930029,0.01156271,0.0009874988,0.004631663,0.003522998,0.001393336,0.02000621],"category_scores_gemma":[0.008939801,0.0009726366,0.001264927,0.01064051,0.0004491549,0.003456717,0.003330426,0.001926042,0.01601693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151127,"about_ca_system_score_gemma":0.006533441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008030009,"about_ca_topic_score_gemma":0.009632074,"domain_scores_codex":[0.9973058,0.0002519436,0.0007522341,0.0005553396,0.001010964,0.0001238482],"domain_scores_gemma":[0.9945799,0.000954263,0.0009207737,0.00104225,0.002138067,0.0003648204],"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":[0.0008786739,0.0004217478,0.01100052,0.01056816,0.0006651148,0.001635579,0.0008460524,0.006190256,0.02369544,0.01231362,0.7442688,0.1875159],"study_design_scores_gemma":[0.0002677613,0.0001605896,0.01219736,0.001090131,0.0002856041,0.0006599437,0.0002265301,0.006401832,0.01174764,0.005212521,0.961574,0.0001760529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008764541,0.001374707,0.04168454,0.0008835966,0.0002263123,0.001269231,0.8970604,0.03388575,0.01485097],"genre_scores_gemma":[0.005498237,0.0008654731,0.0399102,0.0004231585,0.00004263844,0.0008451722,0.9477282,0.00176043,0.002926656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02000621,"threshold_uncertainty_score":0.06692743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004822621045888398,"score_gpt":0.2090146491613837,"score_spread":0.2041920281154953,"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."}}