{"id":"W4243693146","doi":"10.1515/iupac.81.0709","title":"Population Dynamics","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Population; Relation (database); Ecology; Computer science; Biology; Environmental health; 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":[0.001526245,0.00156585,0.001257871,0.003077634,0.000656763,0.002657239,0.003071615,0.00187757,0.0629682],"category_scores_gemma":[0.01189746,0.0006203534,0.001841154,0.004880213,0.0003264949,0.001611674,0.001534187,0.00214578,0.07453675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958403,"about_ca_system_score_gemma":0.001876295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02891958,"about_ca_topic_score_gemma":0.04676376,"domain_scores_codex":[0.9987475,0.0002384075,0.0001669053,0.0004425315,0.0002659296,0.0001386511],"domain_scores_gemma":[0.9967613,0.001079727,0.00038722,0.0008039348,0.0007702989,0.0001975702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006950975,0.00002916296,0.007376208,0.0006353781,0.0000904182,0.00002977087,0.00003571543,0.002413189,0.00007292636,0.002353913,0.9785402,0.008353709],"study_design_scores_gemma":[0.0003141072,0.00003062175,0.01170398,0.0005345483,0.0000669819,0.0001917149,0.00008749928,0.005860474,0.0002978522,0.008063665,0.9727927,0.00005586746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003607128,0.0001721617,0.0003272412,0.0001514275,0.00005424349,0.00001498031,0.9973834,0.0003691983,0.001166599],"genre_scores_gemma":[0.002227673,0.0001800707,0.0008385294,0.0001227048,0.00002126779,0.0001215427,0.9948322,0.0000780714,0.001577981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0629682,"threshold_uncertainty_score":0.2106496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901755373389596,"score_gpt":0.4209775460328147,"score_spread":0.4019599922989188,"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."}}