{"id":"W2138811774","doi":"10.1046/j.1523-1739.2003.01287.x","title":"Demographic Assessment of a Marbled Murrelet Population from Capture‐Recapture Data","year":2003,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Mark and recapture; Seabird; Population; Geography; Range (aeronautics); Population size; Population growth; Demography; Vital rates; Population decline; Ecology; Population model; Fishery; Biology; Predation","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":[0.003054784,0.0002621349,0.0001922649,0.001108547,0.0003089651,0.000496406,0.0003779937,0.0001651916,0.0004834456],"category_scores_gemma":[0.004422794,0.0001444129,0.000231542,0.0004914538,0.0002011568,0.0002512318,0.0002913595,0.0002552871,0.0001544155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008119456,"about_ca_system_score_gemma":0.0004437274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0471841,"about_ca_topic_score_gemma":0.09032224,"domain_scores_codex":[0.9995525,0.0001773745,0.00004060299,0.00008533976,0.0001059403,0.00003814508],"domain_scores_gemma":[0.9974209,0.0007702128,0.0004430477,0.0002189326,0.001011529,0.0001354732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004679846,0.00001322751,0.9926473,0.00001370363,0.00005202441,0.00005383707,0.0002202235,0.0009634246,0.001743146,0.00003486134,0.00004467576,0.004166716],"study_design_scores_gemma":[0.000003375669,0.00009654801,0.9940753,0.000008419754,0.00003015336,0.0001359115,0.0001855872,0.00469329,0.0006021122,0.00002048659,0.0001419881,0.000006819305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987128,0.0000280684,0.0008998396,0.000006068307,7.042042e-7,0.00001235015,0.000120124,0.000006996719,0.0002130975],"genre_scores_gemma":[0.9984138,0.00001912593,0.001185595,0.000003542554,0.000001208861,0.000007739663,0.0002894201,0.000001058047,0.00007858065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0471841,"threshold_uncertainty_score":0.09381896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503609258267686,"score_gpt":0.2741683947765016,"score_spread":0.2491323021938248,"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."}}