{"id":"W7096115507","doi":"","title":"GRIZZLY BEAR CONSERVATION IN THE YELLOWSTONE TO YUKON REGION i","year":2005,"lang":"en","type":"article","venue":"","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Population; Wildlife conservation; Biodiversity","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":[0.0002618973,0.0001042702,0.0002409402,0.0006630401,0.001335154,0.0004438178,0.0004331153,0.0001676996,0.0008063636],"category_scores_gemma":[0.0004020781,0.0000810112,0.0001597119,0.0008776463,0.0006435479,0.0002954513,0.0009658337,0.0001538191,0.00005978607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699358,"about_ca_system_score_gemma":0.002241837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2831328,"about_ca_topic_score_gemma":0.6382738,"domain_scores_codex":[0.9998214,0.00001779411,0.000008827923,0.00005642313,0.00002824609,0.00006734757],"domain_scores_gemma":[0.9997631,0.00001737158,0.00007400112,0.00002235673,0.00006445543,0.00005870637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002175884,0.00002676775,0.9732068,0.00004010429,0.00006956136,0.0005559251,0.003927444,0.0001824717,0.01165707,0.0006036623,0.0002245008,0.009288085],"study_design_scores_gemma":[0.0000024582,0.00001406327,0.9975725,0.000002941132,0.000006304821,0.00005405994,0.00172902,0.00007969406,0.0001369849,0.00003333005,0.0003669648,0.000001692126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994448,0.0000252901,0.0000330087,0.00001976219,7.81022e-7,0.00000320237,0.00003172061,0.00000133827,0.0004400913],"genre_scores_gemma":[0.9994237,0.00002351317,0.00009708821,0.00001433528,4.445628e-7,0.000002303499,0.00006513,0.000001028405,0.0003723238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7168672,"threshold_uncertainty_score":0.5629695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05661482567101386,"score_gpt":0.2697661572804744,"score_spread":0.2131513316094606,"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."}}