{"id":"W1904409529","doi":"10.1111/cobi.12216","title":"Allee Effect and the Uncertainty of Population Recovery","year":2014,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Allee effect; Population; Geography; Demography; Sociology","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":[0.0005535914,0.00003234041,0.00007678541,0.000008885905,0.00004165867,0.000004220022,0.00005808014,0.00003601237,0.000635972],"category_scores_gemma":[0.0003540254,0.00001908662,0.00001421557,0.00005589853,0.0002680452,0.00003278951,0.00007753528,0.00003605974,0.000009227234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009529731,"about_ca_system_score_gemma":0.000001458163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003720881,"about_ca_topic_score_gemma":0.0002803893,"domain_scores_codex":[0.9994975,0.0002312669,0.0000885744,0.00008273438,0.00003864346,0.00006122971],"domain_scores_gemma":[0.9994164,0.0004286336,0.00004061041,0.00009690267,0.000005366837,0.00001207473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000107941,0.000002446704,0.9317847,0.000003702808,0.000003110716,2.14914e-8,0.00001799299,0.00001428647,0.0004320226,0.003643418,0.0004519515,0.06353834],"study_design_scores_gemma":[0.0008320329,0.0002166688,0.8974417,0.000001353327,0.000004545017,0.000001471455,0.000006351657,0.0119263,0.00007100272,0.01182672,0.07762048,0.00005135337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690821,0.000004105143,0.0003678148,0.002245149,0.00003615495,0.0001282559,8.562562e-7,0.000005733633,0.02812986],"genre_scores_gemma":[0.9990468,0.00002038113,0.00007212039,0.0005032845,0.00001172501,0.00001040765,0.00002295201,0.000001587931,0.0003107155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07716853,"threshold_uncertainty_score":0.6963447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00931260145439776,"score_gpt":0.2416909578774292,"score_spread":0.2323783564230314,"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."}}