{"id":"W2062956222","doi":"10.1111/j.1600-0706.2011.20010.x","title":"Likelihood based population viability analysis in the presence of observation error","year":2012,"lang":"en","type":"article","venue":"Oikos","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Population; Statistics; Biology; Ecology; Mathematics; Geography; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.007422953,0.0006049065,0.000864836,0.001715866,0.0004189181,0.001579525,0.001374062,0.0009042998,0.00142459],"category_scores_gemma":[0.03838019,0.0003326737,0.00089573,0.001004321,0.001275165,0.001999179,0.001466175,0.001302033,0.0002289147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008019548,"about_ca_system_score_gemma":0.0005420935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978433,"about_ca_topic_score_gemma":0.0009842996,"domain_scores_codex":[0.9972748,0.001818295,0.0001684434,0.0003024573,0.0003343146,0.0001016244],"domain_scores_gemma":[0.9644279,0.03124889,0.001991094,0.001388288,0.0008002836,0.000143367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002394857,0.00008826498,0.1260278,0.000271458,0.0006092857,0.001130224,0.000668794,0.6755699,0.006640012,0.09250623,0.001135093,0.09511349],"study_design_scores_gemma":[0.000008594185,0.00007197997,0.01033648,0.00001928562,0.00003284734,0.0002785771,0.00006931825,0.9531508,0.001330937,0.03403714,0.0006314925,0.00003246756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1110207,0.0002275061,0.886359,0.0001659034,0.00001844988,0.00007266624,0.0003050711,0.0003207992,0.001509997],"genre_scores_gemma":[0.9039899,0.0001511102,0.09379824,0.00006484807,0.0000285508,0.000252754,0.0005313731,0.0001075617,0.001075576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007422953,"threshold_uncertainty_score":0.03925681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968851701297168,"score_gpt":0.2639909649273968,"score_spread":0.2443024479144251,"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."}}