{"id":"W2069765181","doi":"10.1006/tpbi.2000.1490","title":"Evolution of Dispersal in a Stepping-Stone Population with Overlapping Generations","year":2000,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Biological dispersal; Competition (biology); Breed; Stepping stone; Biology; Population; Ecology; Kin selection; Inclusive fitness; Evolutionary biology; Demography","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":[0.0001999664,0.00012196,0.0001681753,0.00008556117,0.00006033372,0.000005526256,0.00008259278,0.0001864379,0.0002514011],"category_scores_gemma":[0.00006258311,0.000108029,0.00004436068,0.0001762901,0.0002285792,0.000005789827,0.0000211664,0.00008838104,0.000006323699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004942292,"about_ca_system_score_gemma":0.00002487441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003508275,"about_ca_topic_score_gemma":0.0005139083,"domain_scores_codex":[0.9989299,0.0001908212,0.0003251311,0.0002747442,0.00008292959,0.0001965246],"domain_scores_gemma":[0.9995977,0.00001723896,0.00007254646,0.0002170141,0.00004676259,0.00004875062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004305314,0.0001320024,0.2609011,0.00001278223,0.00002487375,4.833413e-7,0.00006156076,0.02746448,0.0704051,0.6370319,0.00001765723,0.003517538],"study_design_scores_gemma":[0.001383765,0.0006661679,0.894797,0.00003227498,0.00002912981,0.0000195783,0.00007044141,0.0788864,0.0005473279,0.02297317,0.0002444597,0.0003503038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740511,0.0001183926,0.02401408,0.0001201429,0.00004366045,0.0001801989,0.00001852007,0.0000142382,0.001439721],"genre_scores_gemma":[0.9970883,0.00002634491,0.001775417,0.00006492113,0.00008771156,0.00001188285,0.0008147711,0.00001335579,0.0001172888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6338959,"threshold_uncertainty_score":0.4405293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004195507539822242,"score_gpt":0.2447912371165107,"score_spread":0.2405957295766885,"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."}}