{"id":"W4404512129","doi":"10.5539/ass.v20n6p48","title":"Modern China's “Cat Slave” Culture and Its Underlying Factors","year":2024,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Sociology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004902993,0.0001729635,0.0001738592,0.0008510428,0.002759291,0.00122006,0.000355399,0.0002203663,0.003732477],"category_scores_gemma":[0.0005961881,0.0001202437,0.0001251987,0.001566323,0.002807183,0.0008134031,0.00106843,0.0004031296,0.0001085734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482996,"about_ca_system_score_gemma":0.002045834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03053171,"about_ca_topic_score_gemma":0.07118598,"domain_scores_codex":[0.999731,0.00004956352,0.00001299421,0.00005102217,0.00006034829,0.00009513088],"domain_scores_gemma":[0.999675,0.00005794685,0.00009563977,0.00002350442,0.00005157027,0.00009619731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006930339,0.0001035807,0.7150198,0.0002469536,0.00006980407,0.001709095,0.1418629,0.0004238552,0.003261962,0.06928817,0.002582346,0.06536239],"study_design_scores_gemma":[0.000005691523,0.00006037815,0.9268087,0.00008953481,0.00002993868,0.0003920279,0.0464971,0.000845696,0.0003307427,0.005105234,0.01981309,0.00002186504],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887467,0.0003488719,0.000163308,0.0006022842,0.00001169266,0.000008553123,0.00002472491,0.000003079834,0.01009093],"genre_scores_gemma":[0.9986287,0.0001977415,0.00005573927,0.00003857819,0.000005107351,0.000003637771,0.00001391205,0.000001258417,0.001055359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03053171,"threshold_uncertainty_score":0.06070799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06552777094900152,"score_gpt":0.3521430900835166,"score_spread":0.286615319134515,"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."}}