{"id":"W4409744385","doi":"10.1016/j.jtbi.2025.112129","title":"Positive and negative selective assortment","year":2025,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Junta de Castilla y León; Agencia Estatal de Investigación; European Regional Development Fund; Ministerio de Universidades; Natural Sciences and Engineering Research Council of Canada; Universidad de Valladolid","keywords":"Biology; Computer science","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":[0.001731673,0.000616328,0.0005996253,0.0005886073,0.0006724762,0.001289438,0.0008100338,0.001008438,0.004510478],"category_scores_gemma":[0.0106823,0.0001906562,0.000673296,0.0004142257,0.002459822,0.002080854,0.001250252,0.0006939542,0.0003774705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005325266,"about_ca_system_score_gemma":0.0004033185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008481757,"about_ca_topic_score_gemma":0.0005209377,"domain_scores_codex":[0.9989059,0.0003936367,0.00006543577,0.0002521506,0.0002044175,0.0001783958],"domain_scores_gemma":[0.9937469,0.003729853,0.001106552,0.0006537365,0.0003721708,0.0003907621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00021486,0.0001023502,0.01842301,0.000318716,0.0001890921,0.001856152,0.0009036739,0.04682469,0.0153044,0.8792496,0.002253798,0.03435966],"study_design_scores_gemma":[0.00008112087,0.0002832936,0.01596007,0.0001155928,0.0001775156,0.004516297,0.0007211727,0.1691304,0.005753421,0.7929305,0.01019592,0.0001347439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7942442,0.001979328,0.1464598,0.001788929,0.0002066354,0.0001256095,0.000295439,0.0001199921,0.05478017],"genre_scores_gemma":[0.9920786,0.0004365616,0.003811834,0.0001696344,0.00005714745,0.00004510159,0.00004457163,0.00001247722,0.003344058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004510478,"threshold_uncertainty_score":0.01508909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407301883776324,"score_gpt":0.3968736235685551,"score_spread":0.3728006047307919,"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."}}