{"id":"W2911590456","doi":"10.1111/evo.13691","title":"Local adaptation in dispersal in multi‐resource landscapes","year":2019,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biological dispersal; Resource (disambiguation); Biology; Ecology; Adaptation (eye); Local adaptation; Spatial ecology; Spatial analysis; Evolutionary biology; Geography; Computer science; Population","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":[0.0001229697,0.00007545493,0.00007128406,0.00006980517,0.00001281529,0.00000533791,0.00006547209,0.0001136876,0.00001879778],"category_scores_gemma":[0.00002303427,0.00007999777,0.00002925013,0.00010792,0.00002007034,0.000003736885,0.00003167466,0.00007010491,0.00005451619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006194695,"about_ca_system_score_gemma":0.00003861767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001849907,"about_ca_topic_score_gemma":0.005674235,"domain_scores_codex":[0.9993693,0.00005105397,0.0001377162,0.0002083799,0.00007743312,0.0001561572],"domain_scores_gemma":[0.9997883,0.00000478378,0.00002963327,0.0001325697,0.00001695045,0.00002769882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002476688,0.0002636479,0.3987131,0.00002928384,0.00001221436,0.0000029065,0.0004432883,0.5047076,0.09015032,0.001543534,0.0004967919,0.003389587],"study_design_scores_gemma":[0.001168322,0.00008410123,0.3180645,0.00001436284,0.000001879905,0.000003069348,0.0006380748,0.6763136,0.0003227364,0.00003806012,0.003224083,0.0001273053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846872,0.0003826677,0.1137979,0.00006943643,0.00007721406,0.0001400799,0.000003894349,0.000008066186,0.0008334617],"genre_scores_gemma":[0.9985418,0.00001887007,0.0005031927,0.00004986813,0.00002710187,0.000007856277,0.0001342244,0.000008898657,0.0007081366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1716059,"threshold_uncertainty_score":0.3262215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005739993372076589,"score_gpt":0.2256592944442185,"score_spread":0.2199193010721419,"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."}}