{"id":"W4402948366","doi":"10.2139/ssrn.4970381","title":"Persistence Index for Harvested Populations","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Persistence (discontinuity); Index (typography); Biology; Statistics; Mathematics; Computer science; World Wide Web; Engineering","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":[0.001327302,0.0002279598,0.0005185046,0.002704369,0.0005121559,0.00149891,0.0008561976,0.0004904371,0.007857027],"category_scores_gemma":[0.00619142,0.0001113234,0.0004803109,0.002149426,0.0004829194,0.001740667,0.0009847375,0.0006160318,0.001531094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006351474,"about_ca_system_score_gemma":0.0004341868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707253,"about_ca_topic_score_gemma":0.001343619,"domain_scores_codex":[0.9995826,0.0000413059,0.00003229935,0.0001854422,0.00008904284,0.00006940803],"domain_scores_gemma":[0.9969701,0.001156955,0.0004579099,0.0007123456,0.0004529931,0.0002496273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007267915,0.0004062136,0.4375484,0.000447642,0.000780706,0.0004719541,0.001839087,0.1062573,0.02005051,0.1532295,0.02232322,0.2559187],"study_design_scores_gemma":[0.00005600846,0.0004579245,0.3657012,0.0001242422,0.000261247,0.001355654,0.001875476,0.3512996,0.005987363,0.2448165,0.02790309,0.0001615865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427832,0.0007263384,0.1253678,0.0003367585,0.000115669,0.00008430764,0.01205289,0.000553595,0.01797949],"genre_scores_gemma":[0.9726896,0.0003134692,0.007332875,0.00005533777,0.00009171812,0.000104972,0.009395133,0.0001218953,0.009895064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007857027,"threshold_uncertainty_score":0.02628434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734407536003865,"score_gpt":0.2940227198578681,"score_spread":0.2566786444978295,"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."}}