{"id":"W4231024456","doi":"10.1515/iupac.81.0807","title":"Screening Level","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; 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":[0.001012609,0.001431948,0.00173386,0.003203939,0.0007720172,0.003172772,0.002409339,0.001848147,0.2465653],"category_scores_gemma":[0.01399986,0.0004477672,0.001990943,0.004506123,0.0002673681,0.002710602,0.001999948,0.001732508,0.1895332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964451,"about_ca_system_score_gemma":0.002752458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061259,"about_ca_topic_score_gemma":0.0373243,"domain_scores_codex":[0.9981205,0.000230576,0.000294955,0.0006526565,0.0004408649,0.0002604859],"domain_scores_gemma":[0.9941618,0.001798519,0.0006993243,0.001265021,0.001674536,0.0004007381],"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":[0.0001654368,0.00002360078,0.00316104,0.001508778,0.00005773412,0.00004621894,0.0000171693,0.0002537735,0.00008931434,0.001225445,0.9819587,0.01149277],"study_design_scores_gemma":[0.0001673047,0.00003095359,0.008928347,0.0009791311,0.00007537166,0.0001764865,0.00006101466,0.0003793353,0.0003019194,0.003939989,0.9849219,0.00003826424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002795323,0.0002809469,0.0001579206,0.0002026704,0.00004266745,0.00004266399,0.9913454,0.0003449774,0.007303283],"genre_scores_gemma":[0.002010511,0.0002724474,0.0005807504,0.0004134565,0.00003178013,0.0001235636,0.9912959,0.0001097854,0.005161864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2465653,"threshold_uncertainty_score":0.8248432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026546785994052,"score_gpt":0.3753624697595854,"score_spread":0.3488156837655334,"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."}}