{"id":"W2142898148","doi":"10.1890/0012-9658(2006)87[3029:eolsda]2.0.co;2","title":"EVIDENCE OF LARGE-SCALE SOURCE–SINK DYNAMICS AND LONG-DISTANCE DISPERSAL AMONG WOOD THRUSH POPULATIONS","year":2006,"lang":"en","type":"article","venue":"Ecology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Ecology; Thrush; Sink (geography); Scale (ratio); Seed dispersal; Geography; Biology; Environmental science; Demography; Population; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007062551,0.0001703322,0.0001532131,0.0005115114,0.0003954911,0.0004635855,0.0002475194,0.0003128117,0.001713184],"category_scores_gemma":[0.003034863,0.0002429061,0.0001496489,0.0003445183,0.0008899592,0.0006981769,0.0004441068,0.0003451954,0.0001459636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388032,"about_ca_system_score_gemma":0.0002054456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003562788,"about_ca_topic_score_gemma":0.00866707,"domain_scores_codex":[0.9997366,0.00006714717,0.0000258191,0.00008945415,0.00004031361,0.00004068567],"domain_scores_gemma":[0.9958981,0.00144964,0.001467126,0.0003858423,0.0003397838,0.0004594851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001449568,0.00009276862,0.9884894,0.00001776821,0.0000509388,0.0001097363,0.0005561247,0.0003543609,0.005355873,0.0002228827,0.00005750946,0.004547684],"study_design_scores_gemma":[0.000006251051,0.00004672665,0.9988148,0.000002609322,0.000007298879,0.0001296856,0.0001810366,0.0005197359,0.0001648381,0.00008269321,0.00004024526,0.00000419342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996181,0.00002587324,0.0001087807,0.00001515514,7.182118e-7,9.417113e-7,0.00001527796,0.000001461274,0.0002137892],"genre_scores_gemma":[0.9998189,0.00001314251,0.0000683993,0.000004088211,0.000001746604,9.886332e-7,0.00004145443,6.6881e-7,0.00005064115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003562788,"threshold_uncertainty_score":0.007084072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007368401419233101,"score_gpt":0.2261275552106545,"score_spread":0.2187591537914214,"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."}}