{"id":"W1596002455","doi":"10.1111/j.1420-9101.2010.02133.x","title":"Testing for mating isolation between ecotypes: laboratory experiments with lake, stream and hybrid stickleback","year":2010,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Stiftung Stiefel-Zangger; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; McGill University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Stickleback; Gasterosteus; Biology; Ecological speciation; Reproductive isolation; Mating; Mate choice; Ecology; Mating preferences; Three-spined stickleback; Assortative mating; Sexual selection; Fish migration; Genetic algorithm; Zoology; Habitat; Fish <Actinopterygii>; Gene flow; Fishery; Population; Genetic variation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001211306,0.000575743,0.0004703126,0.0006976753,0.001227868,0.0005363464,0.0006538018,0.0005879029,0.001250673],"category_scores_gemma":[0.001571091,0.0004041226,0.0004823883,0.0002954034,0.001109954,0.0003811512,0.0007907912,0.001037812,0.000166278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006540031,"about_ca_system_score_gemma":0.0005692689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008160918,"about_ca_topic_score_gemma":0.01757143,"domain_scores_codex":[0.9989359,0.0004113078,0.0001111284,0.0002562912,0.0001586356,0.0001267831],"domain_scores_gemma":[0.997577,0.0009158537,0.0005251416,0.0002875986,0.0002017004,0.0004926782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01193159,0.01131253,0.1631054,0.0001820533,0.000292473,0.0005787002,0.005243102,0.000626385,0.7965086,0.0004537375,0.0002461532,0.009519295],"study_design_scores_gemma":[0.001204368,0.08618355,0.7437381,0.00004526767,0.0004892211,0.001093578,0.005395631,0.00278101,0.1569245,0.0005917445,0.001413939,0.0001391424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999739,0.0000148273,0.000097349,0.000007410926,0.000003244097,0.00002593593,0.0000254317,0.000002083215,0.00008473894],"genre_scores_gemma":[0.9968426,0.00005833359,0.001546766,0.0001344364,0.00001501019,0.0003038312,0.0002805457,0.0000112808,0.0008072156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008160918,"threshold_uncertainty_score":0.01622683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299111455822063,"score_gpt":0.2463094645098195,"score_spread":0.2333183499515989,"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."}}