{"id":"W4280642822","doi":"10.1080/17450101.2022.2071631","title":"Changes in everyday life of rural China: a perspective of mobilities","year":2022,"lang":"en","type":"article","venue":"Mobilities","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Mobilities; Everyday life; Livelihood; Context (archaeology); China; Urbanization; Sociology; Perspective (graphical); Economic geography; Agriculture; Economic growth; Geography; Social science; Political science; Economics","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":[0.0007025118,0.0004019912,0.0002522394,0.001676696,0.002529466,0.002824133,0.0005101811,0.0003853489,0.001555157],"category_scores_gemma":[0.0006143405,0.0001171738,0.0002613909,0.001960221,0.005172406,0.002568651,0.003224217,0.0005255478,0.00008233306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003012815,"about_ca_system_score_gemma":0.0017223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775092,"about_ca_topic_score_gemma":0.02524796,"domain_scores_codex":[0.9995228,0.0002023531,0.00002173771,0.0000643345,0.00005415406,0.0001347534],"domain_scores_gemma":[0.9996493,0.0000570122,0.00009491143,0.00003365443,0.00004312052,0.0001220762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009985363,0.000134923,0.1694476,0.0005260279,0.00008955483,0.002798992,0.6769129,0.001284614,0.003908049,0.08248818,0.001560535,0.06074877],"study_design_scores_gemma":[0.00001250785,0.0002235467,0.3620799,0.0002119826,0.00004164746,0.0007870126,0.5707956,0.001182284,0.000527998,0.01501889,0.04903907,0.00007950826],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698468,0.001416444,0.001399173,0.002288399,0.00005348182,0.00003002045,0.00008446143,0.0000121603,0.02486888],"genre_scores_gemma":[0.9983698,0.0005309825,0.0001876307,0.00006712766,0.00001552984,0.00001016228,0.0000223958,0.000002218277,0.0007942252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01775092,"threshold_uncertainty_score":0.03529519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099052459934528,"score_gpt":0.210719404775803,"score_spread":0.1997288801764577,"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."}}