{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081227,0.0001692064,0.0002261778,0.0008875216,0.001290203,0.0009032544,0.0002259672,0.0002399166,0.002444838],"category_scores_gemma":[0.001624621,0.0001480974,0.0001421659,0.001050092,0.0008544617,0.0005297803,0.0005304997,0.0002832678,0.0001102014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008402987,"about_ca_system_score_gemma":0.000500225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238907,"about_ca_topic_score_gemma":0.05437333,"domain_scores_codex":[0.9995887,0.0001791344,0.00001594384,0.0000585099,0.00004764417,0.0001101169],"domain_scores_gemma":[0.9988224,0.0004225522,0.0003106043,0.00005030039,0.00009038593,0.0003036561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006639555,0.00005062155,0.9611489,0.00004240045,0.00002935316,0.0004323909,0.02417478,0.00007808995,0.0004851762,0.001006369,0.0002959112,0.0121895],"study_design_scores_gemma":[0.000002102599,0.00004307965,0.9776214,0.00001111722,0.00001661958,0.00007443303,0.02115455,0.0002072893,0.00007011802,0.0001894236,0.0006041367,0.00000575913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992531,0.00009669475,0.00005502129,0.00007329748,0.000003277221,0.00000188535,0.00002117926,9.208744e-7,0.0004944402],"genre_scores_gemma":[0.9996915,0.00005334459,0.00002669355,0.00001664954,0.000002448731,9.910199e-7,0.00001869158,4.3193e-7,0.0001891944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02238907,"threshold_uncertainty_score":0.04451746,"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."}}