{"id":"W7029107768","doi":"","title":"Influence of hard mast, harvest framework, and other factors on black bear harvest","year":2022,"lang":"en","type":"dissertation","venue":"Minds at UW (University of Wisconsin)","topic":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Acorn; Demographics; Predation; Mast (botany); Endangered species; Seasonal breeder","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000643253,0.0001178739,0.0001005104,0.0004637588,0.0004025992,0.0005147485,0.0001946327,0.0001375394,0.001328139],"category_scores_gemma":[0.001907857,0.000104876,0.0002928595,0.0006272864,0.0001882522,0.0002975852,0.0002917754,0.0001810231,0.0001347389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005186796,"about_ca_system_score_gemma":0.0005779761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03491093,"about_ca_topic_score_gemma":0.1306576,"domain_scores_codex":[0.9996866,0.00007682953,0.00002630031,0.00008436447,0.0000862017,0.0000397049],"domain_scores_gemma":[0.9986027,0.0006966846,0.0004596705,0.00002620129,0.000134348,0.00008044929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007019423,0.0000375098,0.9782782,0.00009782724,0.0001003661,0.0002016644,0.0007222955,0.0002907969,0.0003839702,0.000212835,0.0006200604,0.01898433],"study_design_scores_gemma":[8.264203e-7,0.00002829475,0.9977723,0.00004104431,0.00004035087,0.00003762693,0.0007713245,0.0001317101,0.00007466285,0.00003975473,0.001059275,0.000002770402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937007,0.002384383,0.0002019502,0.000126054,0.0000115253,0.0000149827,0.0002983754,0.000003389507,0.003258605],"genre_scores_gemma":[0.9951131,0.002409371,0.0004869218,0.00007516235,0.00001649879,0.00001797597,0.0004407757,0.000005214232,0.001434994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03491093,"threshold_uncertainty_score":0.06941545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501228053509897,"score_gpt":0.2626520359935055,"score_spread":0.2376397554584065,"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."}}