{"id":"W2204270660","doi":"10.1890/es15-00257.1","title":"The role of seasonality and non‐lethal carry‐over effects on density‐dependent dispersal","year":2015,"lang":"en","type":"article","venue":"Ecosphere","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Biological dispersal; Ecology; Biology; Density dependence; Population density; Intraspecific competition; Population; Habitat; Range (aeronautics); Seasonality; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002150849,0.00006692636,0.00008514924,0.000001346747,0.0001287251,0.000008091271,0.00007708328,0.00004009412,0.00009359496],"category_scores_gemma":[0.0000604898,0.00004621278,0.00002155897,0.00003154459,0.000142832,0.00004423194,0.0001219214,0.00007727699,0.0001604856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005494425,"about_ca_system_score_gemma":0.000006659947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002446779,"about_ca_topic_score_gemma":0.006038718,"domain_scores_codex":[0.9994853,0.00005245223,0.00007179139,0.0001330484,0.0001391781,0.0001181964],"domain_scores_gemma":[0.999619,0.0001656752,0.00004207944,0.0001094495,0.000007378697,0.00005643071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004418378,0.00003733215,0.9913267,0.000005563127,0.0000272801,0.000004879917,0.0006579087,0.000298642,0.0002309112,0.001110631,0.002518644,0.003737357],"study_design_scores_gemma":[0.0002885439,0.00009405331,0.9915226,0.00000427195,0.00001146455,0.000001909966,0.000332942,0.003184055,0.0007960722,0.003097667,0.0006025187,0.0000639256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591152,0.0001843823,0.0000162119,0.0002355119,0.0001096938,0.00009459766,0.000002108888,0.000006628723,0.04023567],"genre_scores_gemma":[0.9991352,0.00001370879,0.00005348386,0.0000771937,0.0000189446,0.000006755643,6.720299e-7,0.000003807736,0.0006902191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04002002,"threshold_uncertainty_score":0.3369747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003900182222596646,"score_gpt":0.2082846070024246,"score_spread":0.2043844247798279,"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."}}