{"id":"W2133466209","doi":"10.1093/icb/icr025","title":"Perspective: Matching, Mate Choice, and Speciation","year":2011,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Genetic algorithm; Mate choice; Mating preferences; Sympatric speciation; Sexual selection; Preference; Matching (statistics); Context (archaeology); Biology; Evolutionary biology; Mating; Ecology; Statistics; Mathematics","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":[0.00005565332,0.0001337935,0.0002131464,0.00001065074,0.0001828711,0.00001830841,0.00006147617,0.00005034544,0.0002039116],"category_scores_gemma":[0.00001361567,0.00004428292,0.00002524826,0.00007264128,0.0001947315,0.00007337048,0.00005528611,0.00009020829,0.00001892033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001249806,"about_ca_system_score_gemma":0.000001959963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239846,"about_ca_topic_score_gemma":0.007397919,"domain_scores_codex":[0.9994187,0.00007837622,0.0001003474,0.0002324801,0.00002930171,0.000140811],"domain_scores_gemma":[0.9996729,0.000141635,0.00006012299,0.000009735928,0.00007434164,0.00004122086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001575557,0.0001252674,0.3415684,0.000003021663,0.0001357931,0.000003182578,0.01349845,1.578895e-8,0.2148988,0.417276,0.0008268888,0.01150668],"study_design_scores_gemma":[0.0000891642,0.0005054348,0.9565632,0.000009703786,0.000007927657,0.000005767656,0.008919678,0.000005918708,0.002275587,0.02160135,0.009880908,0.0001353208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620795,0.001054018,0.00001216297,0.0001994492,0.0000295802,0.00009342269,0.00004540213,0.0000256992,0.03646082],"genre_scores_gemma":[0.9990411,0.000260496,0.0000793015,0.0001065635,0.0001025575,0.00001092978,0.000009786251,2.802894e-7,0.000389001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6149949,"threshold_uncertainty_score":0.4128213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1546670893059992,"score_gpt":0.2910348549731769,"score_spread":0.1363677656671777,"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."}}