{"id":"W2108515803","doi":"10.1111/j.1523-1739.2004.00500.x","title":"Relative Contributions of Sampling Error in Initial Population Size and Vital Rates to Outcomes of Population Viability Analysis","year":2004,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"","keywords":"Vital rates; Statistics; Population; Sampling (signal processing); Ursus; Population size; Variance (accounting); Sample size determination; Population viability analysis; Sampling error; Grizzly Bears; Standard error; Mathematics; Demography; Observational error; Population growth; Computer science; Endangered species","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04929287,0.0006983505,0.0006064391,0.0007578925,0.0004830753,0.001081494,0.0006988881,0.0007253651,0.0008268243],"category_scores_gemma":[0.1688429,0.0004002154,0.0009849675,0.000597689,0.001431589,0.0009747001,0.001350102,0.001386832,0.0001923054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008948808,"about_ca_system_score_gemma":0.0006706301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001860765,"about_ca_topic_score_gemma":0.002089192,"domain_scores_codex":[0.9732722,0.01871218,0.001806715,0.002635177,0.002951339,0.0006223386],"domain_scores_gemma":[0.7979221,0.172521,0.007728401,0.01254979,0.008364065,0.0009146715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003834463,0.0004429623,0.7084438,0.000251362,0.00218972,0.0003891958,0.0009704989,0.2243641,0.01274116,0.003973661,0.0007012302,0.04169792],"study_design_scores_gemma":[0.0002534743,0.002048357,0.4634782,0.0001929807,0.001365783,0.0009032245,0.0005050746,0.4770361,0.03928168,0.01277442,0.001930443,0.000230317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377891,0.0003148902,0.05961594,0.000256751,0.00008426946,0.0001695488,0.0002121429,0.0001493062,0.001407963],"genre_scores_gemma":[0.9943762,0.0000399956,0.004935294,0.00005317995,0.00001201539,0.00006559387,0.0003006828,0.00005599946,0.0001611366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04929287,"threshold_uncertainty_score":0.2606887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405719458063524,"score_gpt":0.3276280110102506,"score_spread":0.3035708164296154,"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."}}