{"id":"W2641090855","doi":"10.1016/j.jtbi.2017.05.038","title":"Evolution of delayed dispersal and subsequent emergence of helping, with implications for cooperative breeding","year":2017,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesinstitut für Sportwissenschaft","keywords":"Biological dispersal; Fecundity; Survivorship curve; Cooperative breeding; Competition (biology); Inclusive fitness; Biology; Ecology; Social evolution; Demography; Evolutionary biology; Cancer; Population; Genetics","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":[0.001735676,0.0003578371,0.0003202717,0.0008792066,0.0008247328,0.001135437,0.001202044,0.001462834,0.005514334],"category_scores_gemma":[0.004854426,0.0003254616,0.0003194453,0.0005886646,0.001083001,0.0006106433,0.0007071074,0.00129558,0.000301555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005631284,"about_ca_system_score_gemma":0.0004678636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790561,"about_ca_topic_score_gemma":0.004386487,"domain_scores_codex":[0.9994739,0.0002087969,0.00002060647,0.0001787166,0.00004140189,0.00007666666],"domain_scores_gemma":[0.9959732,0.002222458,0.0008410366,0.0003046152,0.000184367,0.0004742422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00253073,0.001073942,0.7117779,0.0002948237,0.0007717854,0.00349042,0.004192626,0.01627631,0.1787376,0.02707202,0.001845275,0.05193665],"study_design_scores_gemma":[0.0002720394,0.0006414779,0.9570591,0.00003886914,0.0003048043,0.002621825,0.002048262,0.02042878,0.002484853,0.01247616,0.00151183,0.0001120081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987275,0.0001483963,0.0003229224,0.0001409333,0.000004500808,0.000002398636,0.00003223567,0.000007535781,0.0006135413],"genre_scores_gemma":[0.9993685,0.00005785114,0.0003088616,0.00003162187,0.000005663945,0.000004021179,0.00002715988,0.000006214098,0.0001900273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005514334,"threshold_uncertainty_score":0.01844728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920244854752775,"score_gpt":0.2772509328971045,"score_spread":0.2380484843495768,"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."}}