{"id":"W166236185","doi":"","title":"A HISTORY AND CURRENT ESTIMATE OF WOLF DISTRIBUTION AND NUMBERS IN MINNESOTA","year":2016,"lang":"en","type":"article","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endangered species; Geography; Canis; Subspecies; Range (aeronautics); Gray wolf; Population; Distribution (mathematics); Wildlife; Ecology; Demography; Biology; Engineering","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":[0.0001931102,0.0001383228,0.00007681914,0.001100553,0.0002612272,0.000262799,0.0002126362,0.00007679431,0.001308941],"category_scores_gemma":[0.0004126687,0.0001440943,0.0001000113,0.000450395,0.0000693983,0.0003823003,0.0002205796,0.0001274148,0.0004358061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005806651,"about_ca_system_score_gemma":0.0003077833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0835522,"about_ca_topic_score_gemma":0.2431564,"domain_scores_codex":[0.9999226,0.00000726195,0.000009984792,0.00002745047,0.00002169279,0.00001095574],"domain_scores_gemma":[0.999624,0.00003114493,0.00010775,0.00002149708,0.0001401986,0.00007531264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001591619,0.00001290312,0.9804062,0.00002705861,0.00002500289,0.00004704811,0.0002712691,0.0003201909,0.0007002294,0.00008933562,0.001521545,0.01656343],"study_design_scores_gemma":[9.660034e-7,0.00001951368,0.9930285,0.0000167922,0.00001226022,0.0001217182,0.0001643667,0.0005028421,0.0001442722,0.00003500986,0.005951594,0.000002359529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837641,0.001343273,0.001539363,0.0001106981,0.0000172412,0.00001893792,0.006253625,0.00006362417,0.006889219],"genre_scores_gemma":[0.9915733,0.0008199317,0.001367139,0.00003224669,0.00001381128,0.0000167955,0.003457234,0.000006362487,0.002713212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0835522,"threshold_uncertainty_score":0.1661317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009771375769932396,"score_gpt":0.2190349102504601,"score_spread":0.2092635344805277,"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."}}