{"id":"W4231407733","doi":"10.1515/iupac.81.0707","title":"Population Cycle","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; Population; Relation (database); Computer science; Ecology; Environmental health; Biology; Data mining; Medicine","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":[0.001176902,0.001757067,0.001387729,0.002912363,0.0008693682,0.003422725,0.003399148,0.001686751,0.1034986],"category_scores_gemma":[0.009077163,0.0006463878,0.001979998,0.00533836,0.0003428982,0.002409337,0.001764961,0.002268826,0.1353489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718789,"about_ca_system_score_gemma":0.002485045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03054857,"about_ca_topic_score_gemma":0.04433881,"domain_scores_codex":[0.9986657,0.0001895474,0.0001560424,0.000503334,0.0003130286,0.000172363],"domain_scores_gemma":[0.9971967,0.0006897653,0.0002573473,0.0008397793,0.0008209409,0.0001954055],"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":[0.0000589656,0.0000164778,0.003122389,0.0004484393,0.00004917048,0.00001630817,0.0000245887,0.0008690793,0.00005292239,0.0020198,0.9856384,0.007683486],"study_design_scores_gemma":[0.0001339083,0.00001383468,0.004293452,0.0002864532,0.00002967,0.00007506111,0.00006512958,0.001360849,0.0001567085,0.004262941,0.9892944,0.00002763868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001862516,0.0001175255,0.0001978681,0.0001044815,0.00004338344,0.00001366724,0.9970131,0.0004514926,0.001872159],"genre_scores_gemma":[0.001213196,0.0001551084,0.0005911643,0.0001166554,0.0000165913,0.00007526548,0.9959597,0.0001157825,0.001756594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1034986,"threshold_uncertainty_score":0.3462372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008017964373488597,"score_gpt":0.3530199210915522,"score_spread":0.3450019567180636,"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."}}