{"id":"W4413500726","doi":"10.64628/aam.rgq5mx4n9","title":"Chinese immigrants look to digital Chinatowns to find love online","year":2023,"lang":"en","type":"article","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Immigration; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002530548,0.0002523635,0.0001402331,0.0007763351,0.00514479,0.0022221,0.0002393918,0.0004557614,0.04623734],"category_scores_gemma":[0.0008573139,0.000106162,0.0001714984,0.0009825442,0.0007388551,0.001448921,0.001336914,0.0006864713,0.004124049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006715069,"about_ca_system_score_gemma":0.00100381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04209824,"about_ca_topic_score_gemma":0.1238981,"domain_scores_codex":[0.9998584,0.00003140824,0.000005001666,0.000009927392,0.0000234882,0.00007179058],"domain_scores_gemma":[0.9994517,0.00005491144,0.00008701308,0.00003028752,0.00008504664,0.0002910991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003420164,0.0007605422,0.5534523,0.0002519244,0.0000782023,0.003697748,0.2028595,0.0001168135,0.004140147,0.01056405,0.09847052,0.1252663],"study_design_scores_gemma":[0.00003312463,0.0002815699,0.2636862,0.0001735336,0.00009420703,0.0007365197,0.624818,0.0005382613,0.001157676,0.001360987,0.1070551,0.0000649408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271832,0.0001651167,0.0001328782,0.002076704,0.000164944,0.00003455604,0.0002302229,0.00003639342,0.06997603],"genre_scores_gemma":[0.9264027,0.0003350292,0.0002376603,0.001501239,0.00006901498,0.00002597525,0.0002221036,0.00001961036,0.07118676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04623734,"threshold_uncertainty_score":0.1546794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956377837825583,"score_gpt":0.3215626938075933,"score_spread":0.3019989154293374,"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."}}