{"id":"W6907399797","doi":"10.2193/0022-541x(2005)069<0277:gbdiaa>2.0.co;2","title":"GRIZZLY BEAR DEMOGRAPHICS IN AND AROUND BANFF NATIONAL PARK AND KANANASKIS COUNTRY, ALBERTA","year":2005,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National park; Population; Reproduction; Demographics; Population growth; Vital rates; Grizzly Bears; Litter","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003381826,0.000176213,0.0001839379,0.00008826587,0.0002297029,0.00004568434,0.0001500581,0.0001448532,0.0003625506],"category_scores_gemma":[0.00007126569,0.0001815836,0.0000266063,0.0003245669,0.0004444246,0.0002987768,0.0001427147,0.000160527,0.0001348011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009550805,"about_ca_system_score_gemma":0.00002207922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807467,"about_ca_topic_score_gemma":0.02746086,"domain_scores_codex":[0.9986813,0.00007371133,0.0002770482,0.0004099778,0.0002570525,0.0003008862],"domain_scores_gemma":[0.9994181,0.000215593,0.00008845794,0.0001522572,0.00001425819,0.0001113129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003063838,0.00007955941,0.9905297,0.0000071152,0.00001620543,0.000003292076,0.0001634933,0.00004780808,0.000663097,0.001833922,0.005172128,0.001453079],"study_design_scores_gemma":[0.000631327,0.00005029527,0.9180796,0.00001372487,0.000008958798,0.00002404104,0.00005077833,0.003549298,0.00001396316,0.0008668248,0.07649267,0.000218572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897811,0.0002052694,0.00005127065,0.005955004,0.00006526424,0.0002145133,0.00003105296,0.00002164758,0.00367488],"genre_scores_gemma":[0.9952279,0.0001342699,0.0009540791,0.003134633,0.00008914083,0.0000186842,0.00005637734,0.00001210747,0.0003728172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07245012,"threshold_uncertainty_score":0.9902855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192528358125652,"score_gpt":0.2230711788696825,"score_spread":0.1038183430571174,"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."}}