{"id":"W2135630539","doi":"10.1098/rspb.2005.3387","title":"Strong assortative mating between allopatric sticklebacks as a by-product of adaptation to different environments","year":2005,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Johns Hopkins University","keywords":"Allopatric speciation; Assortative mating; Sympatric speciation; Reproductive isolation; Biology; Evolutionary biology; Stickleback; Adaptation (eye); Genetic algorithm; Ecological speciation; Mating; Sympatry; Mechanism (biology); Disruptive selection; Ecology; Zoology; Genetics; Population; Genetic variation; Natural selection; Gene; Fishery","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":[0.001347522,0.0003911673,0.0004914457,0.000522988,0.0005797578,0.0007979486,0.0003811422,0.0003393196,0.001295291],"category_scores_gemma":[0.001029401,0.0002843794,0.0002195798,0.0002802585,0.0007841326,0.0003814726,0.001039688,0.0007296681,0.0001772638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483928,"about_ca_system_score_gemma":0.000207487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003609312,"about_ca_topic_score_gemma":0.001104529,"domain_scores_codex":[0.9992734,0.0001911096,0.00007600083,0.0002138545,0.0001786079,0.00006709289],"domain_scores_gemma":[0.9978058,0.0005666042,0.0006737189,0.0004442571,0.0001132906,0.000396447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003975901,0.0001232203,0.08714642,0.00009908841,0.0001573735,0.0002038079,0.0003260552,0.0001766893,0.9051924,0.000382263,0.00004954598,0.005745497],"study_design_scores_gemma":[0.00003091519,0.00108305,0.9160559,0.00001554231,0.0001268955,0.0008588129,0.0003428861,0.001687255,0.0787226,0.0005575881,0.0004841666,0.0000343787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993569,0.00004711393,0.0003895762,0.000008016264,0.000002368492,0.00000390173,0.00001183747,0.000004561514,0.0001757257],"genre_scores_gemma":[0.9991764,0.00003451336,0.0005396192,0.00003694147,0.000005847794,0.000009662258,0.00003940249,0.000004094626,0.0001535451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001347522,"threshold_uncertainty_score":0.00712651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03535861323827912,"score_gpt":0.2501609835448618,"score_spread":0.2148023703065827,"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."}}