{"id":"W1691969902","doi":"10.1139/z06-153","title":"The role of variability and uncertainty in testing hypotheses involving parameters in stochastic demographic models","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Statistics; Econometrics; Context (archaeology); Standard error; Population; Vital rates; Mathematics; Biology; Population growth; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.1629437,0.001114166,0.002901999,0.003467241,0.002995965,0.007890913,0.005479805,0.007564927,0.002515188],"category_scores_gemma":[0.5703546,0.001114777,0.00394399,0.003623541,0.02320047,0.01950929,0.006779543,0.01411546,0.0002732849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256081,"about_ca_system_score_gemma":0.002849712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005028602,"about_ca_topic_score_gemma":0.003793185,"domain_scores_codex":[0.8315203,0.1356169,0.006992892,0.009436999,0.01419706,0.002235908],"domain_scores_gemma":[0.1874916,0.7828986,0.0114251,0.01249427,0.004470527,0.001219781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002172156,0.00005177373,0.02156514,0.000372041,0.0005217082,0.0009200256,0.003527628,0.0461275,0.0003246398,0.8766268,0.002969604,0.04677586],"study_design_scores_gemma":[0.00002556574,0.00006494188,0.002763438,0.0001773516,0.00006267351,0.0002175358,0.0004101561,0.04226038,0.0002595338,0.9518723,0.001811384,0.00007481005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05992553,0.005278729,0.8723467,0.04472186,0.001426305,0.0001080992,0.0002511813,0.0002472064,0.01569447],"genre_scores_gemma":[0.8743334,0.002887859,0.11106,0.006433276,0.00331059,0.0004055654,0.0001756302,0.0002028528,0.001190687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1629437,"threshold_uncertainty_score":0.8617392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05410878277458091,"score_gpt":0.1805278513146811,"score_spread":0.1264190685401002,"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."}}