{"id":"W4253474026","doi":"10.1515/iupac.81.0071","title":"Artificial Soil Test","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; Test (biology); Ecology; Computer science; Risk assessment; 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":[0.001625623,0.002064155,0.001555205,0.002593758,0.0007881566,0.002371234,0.003632452,0.00200985,0.05827577],"category_scores_gemma":[0.01173689,0.000446968,0.0016429,0.002827207,0.0005266249,0.001705147,0.001757357,0.001773229,0.06390595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360758,"about_ca_system_score_gemma":0.002432227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0136203,"about_ca_topic_score_gemma":0.0372529,"domain_scores_codex":[0.9982868,0.0003432694,0.0002549841,0.0004917351,0.0004636948,0.0001595583],"domain_scores_gemma":[0.9949449,0.001665721,0.0006118285,0.001180318,0.001276145,0.0003212584],"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":[0.0005812544,0.0001597453,0.010594,0.001738358,0.00016707,0.0001274917,0.00003259172,0.001742396,0.0002131377,0.001444055,0.9572758,0.02592408],"study_design_scores_gemma":[0.0005628768,0.0001450521,0.01332779,0.0007543571,0.0001345562,0.0003433991,0.0001323298,0.002853655,0.001203398,0.005333512,0.9751417,0.00006727889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001508628,0.000435211,0.0006378969,0.0002174235,0.0001165826,0.0000902948,0.9917305,0.001004197,0.004259282],"genre_scores_gemma":[0.00389035,0.0002429382,0.001391969,0.0002329373,0.00002534595,0.0002273641,0.9907582,0.0001133941,0.003117472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05827577,"threshold_uncertainty_score":0.1949519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187367954005123,"score_gpt":0.348747940202435,"score_spread":0.3368742606623838,"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."}}