{"id":"W877430461","doi":"","title":"MOOSE HUNTING, FORESTRY, AND WOLVES IN SWEDEN","year":2006,"lang":"en","type":"article","venue":"Alces","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Canis; Population; Gray wolf; Culling; Wildlife management; Forestry; Ethnology; Population size; Ecology; Archaeology; Wildlife; Demography; Biology; History; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006568879,0.00003163295,0.00003363113,0.00001033048,0.00003927452,0.000009004288,0.00004075861,0.00002970747,0.000270621],"category_scores_gemma":[0.000009607343,0.00002918204,0.000005699338,0.00004991731,0.00006729019,0.0001132397,0.00003693439,0.00002809348,0.00007193762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008806436,"about_ca_system_score_gemma":0.000001617446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018541,"about_ca_topic_score_gemma":0.006839692,"domain_scores_codex":[0.999725,0.00001033547,0.0000586493,0.00008787861,0.00003649549,0.00008168341],"domain_scores_gemma":[0.9999049,0.00002512345,0.00001882213,0.00004102868,6.308011e-7,0.0000094938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001625104,0.00001105956,0.9966139,6.474424e-7,4.932174e-7,0.000001620681,0.00003700927,0.00004857566,0.0001361939,0.0002142167,0.001581747,0.001352879],"study_design_scores_gemma":[0.00008602167,0.000008694685,0.9925533,0.000002150529,0.000001270501,0.000001194936,0.00002535711,0.000183736,0.0001304677,0.004235961,0.002735298,0.00003655407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833607,0.00003790486,0.000004466081,0.0006196637,0.00002318678,0.00003533015,2.283715e-7,0.00000993154,0.0159086],"genre_scores_gemma":[0.9984963,0.000005440516,0.0001930885,0.0002368679,0.00001884567,0.000005539966,0.000001605998,0.000001756883,0.001040563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0151356,"threshold_uncertainty_score":0.3816708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0084251093900578,"score_gpt":0.2173241860196107,"score_spread":0.2088990766295529,"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."}}