{"id":"W2108233504","doi":"10.1086/587805","title":"Predictable Patterns of Disruptive Selection in Stickleback in Postglacial Lakes","year":2008,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas at Austin; Freshwater Fisheries Society of British Columbia; National Science Foundation","keywords":"Disruptive selection; Stickleback; Gasterosteus; Intraspecific competition; Biology; Sympatric speciation; Selection (genetic algorithm); Competition (biology); Sexual selection; Ecology; Parallel evolution; Pelagic zone; Predation; Evolutionary biology; Trophic level; Natural selection; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001095166,0.00006594486,0.0001369541,0.00003343239,0.00007674906,0.000001923509,0.0001351066,0.00001422938,0.0001950594],"category_scores_gemma":[0.00004509831,0.0000475934,0.00001784608,0.0003673241,0.000497599,0.00008626547,0.0001162318,0.0001231625,0.00003161599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008432938,"about_ca_system_score_gemma":0.000003392355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006796276,"about_ca_topic_score_gemma":0.03356769,"domain_scores_codex":[0.9994175,0.0000707532,0.0001203951,0.0001319262,0.0000988488,0.0001605221],"domain_scores_gemma":[0.999763,0.00006776134,0.000087366,0.00006740094,0.00000348064,0.0000110296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005562015,0.00004721158,0.9955992,0.00000221397,0.000006583002,0.00000605215,0.00108467,0.0003288794,0.0001513131,0.00003428708,0.002551122,0.000132859],"study_design_scores_gemma":[0.0001601175,0.00006083654,0.9985467,0.000004184318,0.000004504221,0.000003072148,0.0005005122,0.000271474,0.00006503742,0.00006076397,0.0002687903,0.00005400568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945258,0.000005413296,0.000009411959,0.0007887377,0.00003462885,0.0001387295,0.000005276338,0.000009806008,0.004482132],"genre_scores_gemma":[0.9987268,0.00008391291,0.00003650299,0.000462066,0.00001207163,0.00001292792,0.000002560829,0.000003494834,0.0006596451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02677141,"threshold_uncertainty_score":0.9998176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006781394915480714,"score_gpt":0.2238211321022416,"score_spread":0.2170397371867609,"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."}}