{"id":"W4307566743","doi":"10.1017/ehs.2022.49","title":"Integrating economic and evolutionary approaches to polygynous marriage","year":2022,"lang":"en","type":"review","venue":"Evolutionary Human Sciences","topic":"Marriage and Sexual Relationships","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Polygyny; Argument (complex analysis); Competition (biology); Positive economics; Economics; Marriage market; Sociology; Neoclassical economics; Ecology; Biology","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002900191,0.0003857748,0.000793886,0.0007086613,0.008482144,0.0002859518,0.001152052,0.0002391975,0.00380958],"category_scores_gemma":[0.0005411349,0.0003609657,0.0002441209,0.0008793244,0.001412587,0.0005830898,0.0005376842,0.0005791775,0.0002023579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099591,"about_ca_system_score_gemma":0.002065862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433158,"about_ca_topic_score_gemma":0.001036842,"domain_scores_codex":[0.995558,0.001296573,0.0007032917,0.001009977,0.0007824773,0.0006496324],"domain_scores_gemma":[0.9978065,0.00117277,0.00035614,0.0003100454,0.00001905112,0.0003354688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002854009,0.00007045177,0.0002293924,0.0005010301,0.00005804326,0.00001273599,0.005887684,0.00004982448,9.670229e-8,0.5846667,0.01976227,0.3887589],"study_design_scores_gemma":[0.00004057956,0.0001037882,0.00007496556,0.0003234838,0.00007550465,0.00002008161,0.004378831,0.00004106939,5.687175e-9,0.01058136,0.9839246,0.0004357459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006071761,0.8452352,0.000022846,0.0003326154,0.0007075873,0.0009268749,0.00008462682,0.0001150468,0.1525145],"genre_scores_gemma":[0.0008325575,0.9847466,0.001849373,0.00007578466,0.001184387,0.0004572104,0.0001370234,0.00003606429,0.01068097],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9641623,"threshold_uncertainty_score":0.9998842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4119798660807624,"score_gpt":0.401811897053503,"score_spread":0.01016796902725936,"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."}}