{"id":"W7097508788","doi":"","title":"Grizzly bears and forestry II. Distribution of grizzly bear foods in clearcuts of","year":2004,"lang":"en","type":"article","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ungulate; Grizzly Bears; Canopy; Vaccinium; Grazing; Scarification; Vegetation (pathology); Herbivore; Wildlife management","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":[0.0001633236,0.0002253921,0.0001527991,0.0007602057,0.0005313392,0.0004568084,0.0003335782,0.0001831728,0.001036043],"category_scores_gemma":[0.0003508216,0.0001475149,0.0001659679,0.0005591948,0.000487406,0.000187438,0.0003350347,0.000209355,0.0001369356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167712,"about_ca_system_score_gemma":0.0007970185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5468874,"about_ca_topic_score_gemma":0.8611895,"domain_scores_codex":[0.9998374,0.00001420442,0.00000588587,0.00003992319,0.00004912572,0.00005351467],"domain_scores_gemma":[0.999658,0.00002412295,0.0001454247,0.00001448061,0.00006248782,0.00009563066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005234694,0.00001031179,0.9971758,0.00000769714,0.00002386486,0.00007209411,0.0002516051,0.0000451633,0.0008064396,0.0000202931,0.00005109197,0.001483244],"study_design_scores_gemma":[2.616792e-7,0.000004056236,0.9997965,9.792761e-7,0.00000140051,0.00001401677,0.0001160213,0.00001295247,0.00001114695,0.000001848191,0.00004049579,4.817154e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992995,0.0001879763,0.00002473765,0.00001020775,0.000001129334,0.000002494374,0.0001420938,0.000001243635,0.0003306788],"genre_scores_gemma":[0.9992631,0.0001012684,0.00008008831,0.000007473053,0.000001693937,0.000001971729,0.0002722305,7.600396e-7,0.0002714007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5468874,"threshold_uncertainty_score":0.9115621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00859042576607396,"score_gpt":0.2141988384875101,"score_spread":0.2056084127214362,"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."}}