{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002559037,0.0001566441,0.00015672,0.001122279,0.001263991,0.0005689567,0.0006629599,0.0001709412,0.001596411],"category_scores_gemma":[0.0003219134,0.000122922,0.00012097,0.001147204,0.0005234737,0.0002524848,0.0004111271,0.0002613293,0.0002185898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004082928,"about_ca_system_score_gemma":0.002404339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9279462,"about_ca_topic_score_gemma":0.9835364,"domain_scores_codex":[0.9997709,0.00001427414,0.000008070377,0.00004663509,0.0000914841,0.00006849569],"domain_scores_gemma":[0.9996172,0.00001573713,0.00008484822,0.00001400816,0.0001429132,0.0001253081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003446565,0.00002326979,0.9938769,0.00001254761,0.00001578323,0.0001126975,0.0007441887,0.00007471259,0.0004310152,0.00008680998,0.000968567,0.003619141],"study_design_scores_gemma":[9.779272e-7,0.00000658078,0.9985449,0.000003462995,0.000003472858,0.00004405906,0.0008045017,0.00002437083,0.00001919637,0.000006089571,0.000540583,0.000001824133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956542,0.0003807136,0.00004881942,0.00009338775,0.000007183073,0.0000158501,0.0008881533,0.000006832052,0.002904701],"genre_scores_gemma":[0.9956771,0.0004006309,0.0001848429,0.00006072344,0.000005691108,0.00001121448,0.001202458,0.00000381301,0.00245347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07205379,"threshold_uncertainty_score":0.1449562,"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."}}