{"id":"W2145033116","doi":"10.1016/j.anbehav.2009.05.026","title":"Learning magnifies individual variation in heterospecific mating propensity","year":2009,"lang":"en","type":"article","venue":"Animal Behaviour","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Innovation Trust","keywords":"Assortative mating; Biology; Drosophila pseudoobscura; Mating; Context (archaeology); Zoology; Reproductive isolation; Sexual selection; Mating preferences; Mate choice; Ecology; Evolutionary biology; Demography; Population; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001850937,0.0001010218,0.0001360403,0.00001071471,0.0002087856,0.00008931485,0.0001076498,0.00005494209,0.00008063344],"category_scores_gemma":[0.00002567087,0.00004290976,0.00003701828,0.0001580438,0.00001387485,0.0001444659,0.00004396266,0.0001632122,0.00003452573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001462967,"about_ca_system_score_gemma":0.00000174239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000222343,"about_ca_topic_score_gemma":0.0007623138,"domain_scores_codex":[0.9992321,0.00004070512,0.0001580681,0.0001966857,0.0001509686,0.00022152],"domain_scores_gemma":[0.9998426,0.00003244084,0.00006013851,0.000009933621,0.0000245119,0.00003031022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002569538,0.00005292792,0.7114867,7.597116e-7,0.000001410954,0.00001381522,0.0002249374,7.977821e-7,0.2794552,0.00008541191,0.00004136762,0.008611012],"study_design_scores_gemma":[0.00007272931,0.0005803279,0.9979461,0.00001375071,0.000005932794,0.00000544747,0.0002435125,0.00000855842,0.0008254671,0.00007338735,0.000104364,0.0001204206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986057,0.00005079709,1.835514e-7,0.0003765865,0.00001545388,0.00009979861,0.000009791133,0.00006419763,0.0007775389],"genre_scores_gemma":[0.9996191,0.00001764397,0.00005118898,0.00006719793,0.0001038151,0.000003370446,0.0000192865,4.459089e-7,0.0001179492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2864594,"threshold_uncertainty_score":0.1749809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07151883820129096,"score_gpt":0.2258366280119558,"score_spread":0.1543177898106649,"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."}}