{"id":"W4249899390","doi":"10.1515/iupac.81.0847","title":"Species Differences in Sensitivity","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; 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":[0.001621945,0.001231795,0.00132797,0.003339144,0.0006462606,0.002419297,0.002030059,0.001263154,0.05303295],"category_scores_gemma":[0.00959042,0.0004670646,0.002089947,0.004601495,0.0003711113,0.001695685,0.001734977,0.001823869,0.03900313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166527,"about_ca_system_score_gemma":0.0008779939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146785,"about_ca_topic_score_gemma":0.02078053,"domain_scores_codex":[0.9980642,0.0003021139,0.0002564804,0.0007899904,0.0003870453,0.000200084],"domain_scores_gemma":[0.9960239,0.001560225,0.0006398793,0.0009124712,0.0006817351,0.0001817185],"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":[0.0004409384,0.00007836306,0.0320143,0.002760546,0.0004055585,0.0001036868,0.000119686,0.001322792,0.0007334281,0.002294666,0.9417247,0.01800126],"study_design_scores_gemma":[0.0002463684,0.00005569325,0.07721054,0.0006860845,0.0002179878,0.000474701,0.0002009022,0.001001224,0.0008658846,0.005128221,0.9138274,0.00008508469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001554185,0.0004803161,0.000207133,0.0001194383,0.00006722682,0.00001433328,0.9950113,0.0002132434,0.002332808],"genre_scores_gemma":[0.005893173,0.000262723,0.0005640572,0.0001452591,0.0000193171,0.00007731019,0.9914623,0.00008471097,0.001491171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05303295,"threshold_uncertainty_score":0.1774129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157681196035712,"score_gpt":0.3336930839689237,"score_spread":0.3179249643653524,"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."}}