{"id":"W2024463869","doi":"10.1086/341521","title":"Will Small Population Sizes Warn Us of Impending Extinctions?","year":2002,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Population size; Population; Extinction (optical mineralogy); Lag; Environmental change; Ecology; Persistence (discontinuity); Range (aeronautics); Population growth; Population model; Carrying capacity; Environmental science; Biology; Climate change; Demography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007542434,0.00008292407,0.0001546443,0.000006652165,0.000260433,0.00002070147,0.0001683512,0.00001510615,0.0003130564],"category_scores_gemma":[0.000048701,0.00002463972,0.00007019939,0.0003028091,0.0001408882,0.0000769906,0.00004919243,0.00008223227,0.00002144277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322137,"about_ca_system_score_gemma":3.551778e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00503011,"about_ca_topic_score_gemma":0.003094992,"domain_scores_codex":[0.9994553,0.0000468723,0.0001258733,0.0001200264,0.0001017665,0.0001501799],"domain_scores_gemma":[0.999557,0.0002067484,0.0001620039,0.00002455319,0.00002568713,0.00002397629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001325635,0.0001328285,0.3688603,0.00001056356,0.00009308554,0.000006390642,0.0004121556,0.00001358021,0.3659757,0.001436095,0.004996713,0.25793],"study_design_scores_gemma":[0.00003452277,0.00009205458,0.9898897,0.00000637047,0.00001326143,0.000008746172,0.0003195039,0.0001048405,0.0003587412,0.0001350969,0.008940268,0.00009690001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963249,0.00024127,2.149369e-7,0.001915236,0.00004157711,0.00006057975,0.00002797183,0.00003882676,0.001349428],"genre_scores_gemma":[0.9989737,0.0002552875,0.00002824585,0.0002022999,0.0001633672,0.00000284585,0.00001308538,5.433694e-7,0.0003606664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6210294,"threshold_uncertainty_score":0.7604055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04425906432468826,"score_gpt":0.2194631087553522,"score_spread":0.175204044430664,"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."}}