{"id":"W3088324987","doi":"10.1177/2057150x20957422","title":"Mate selection among online daters in Shanghai: Why does education matter?","year":2020,"lang":"en","type":"article","venue":"Chinese Journal of Sociology","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Selection (genetic algorithm); Psychology; Social psychology; Mate choice; Biology; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003085825,0.0001580145,0.0003394721,0.0002217948,0.00006845606,0.000007345661,0.000240726,0.0002639825,0.00418275],"category_scores_gemma":[0.00004489214,0.0001094142,0.0001095395,0.0001537957,0.0002619038,0.0001965897,0.00002575754,0.0006528461,0.000144278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006723141,"about_ca_system_score_gemma":0.00005819068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003609187,"about_ca_topic_score_gemma":0.00006948282,"domain_scores_codex":[0.9985432,0.0004040666,0.0005423652,0.0002139686,0.00007464968,0.000221761],"domain_scores_gemma":[0.9992188,0.00008655346,0.000388871,0.0001034499,0.00009930261,0.0001029738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003155321,0.0004451211,0.9580593,0.00001249369,0.00005425721,0.00002804288,0.00870008,0.00001420672,0.001466659,0.0002873486,0.03025563,0.0003613883],"study_design_scores_gemma":[0.0007780343,0.000238533,0.9923148,0.00001817686,0.00003020811,0.0001698617,0.001435735,0.000009489881,0.000004885814,0.003983566,0.0009068454,0.0001098805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985507,0.0004215614,0.0001092936,0.0108803,0.002241109,0.0001039887,0.00001106797,0.00001831359,0.0007074269],"genre_scores_gemma":[0.992171,0.00002401383,0.0002316659,0.005958662,0.001081787,0.00000888578,0.000034013,0.00001913392,0.00047076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03425554,"threshold_uncertainty_score":0.9967276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264040736085919,"score_gpt":0.349513022100215,"score_spread":0.3268726147393557,"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."}}