{"id":"W3026055849","doi":"10.1016/j.tree.2020.04.010","title":"You’re Just My Type: Mate Choice and Behavioral Types","year":2020,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Mate choice; Assortative mating; Context (archaeology); Trait; Mating; Behavioral syndrome; Adaptation (eye); Consistency (knowledge bases); Mating preferences; Adaptive behavior; Psychology; Biology; Cognitive psychology; Ecology; Social psychology; Computer science; Personality","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":[0.0001301752,0.0002572964,0.0006749563,0.0000600566,0.0001295024,0.00002088674,0.0001574961,0.0004970885,0.0005180468],"category_scores_gemma":[0.00002311823,0.0001089145,0.0001299162,0.0006738651,0.0001119207,0.00008790305,0.0001019269,0.0003720179,0.0001160735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597076,"about_ca_system_score_gemma":0.00001884969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002694895,"about_ca_topic_score_gemma":0.002212208,"domain_scores_codex":[0.9985676,0.0001504672,0.0003299393,0.0005873691,0.00008900675,0.0002755688],"domain_scores_gemma":[0.9996193,0.00004361632,0.0001693248,0.00006664376,0.00003116795,0.00006995126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007210384,0.0000834669,0.01072888,0.000109758,0.000009493565,0.000006799429,0.00001951975,2.390587e-7,0.00005751332,0.00003660994,0.0005493775,0.9883911],"study_design_scores_gemma":[0.00006013448,0.0003960989,0.3265044,0.0001393207,0.0003347324,0.00004002719,0.0000460168,0.000003016339,5.346171e-7,0.00001214755,0.6722413,0.0002222768],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0908628,0.9074323,6.208555e-8,0.0003024415,0.0007219411,0.0002236061,0.00005244631,0.00009394946,0.0003104892],"genre_scores_gemma":[0.06505466,0.9321221,0.00001977258,0.00001413351,0.0006445195,0.00004770668,0.0005130416,0.000003970744,0.001580164],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9881688,"threshold_uncertainty_score":0.567225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062462023131468,"score_gpt":0.358105355618773,"score_spread":0.2518591533056262,"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."}}