{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004829421,0.0001169984,0.0002968085,0.00003584485,0.0001143478,0.000007513046,0.0002354526,0.00003378404,0.001321929],"category_scores_gemma":[0.0001849929,0.00005258001,0.00009199428,0.0003778524,0.0002246522,0.00008745281,0.0002192632,0.0001166832,5.863833e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611329,"about_ca_system_score_gemma":0.00004460141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006654381,"about_ca_topic_score_gemma":0.00210525,"domain_scores_codex":[0.9988544,0.0001911624,0.0002838145,0.0001647391,0.000273867,0.0002320471],"domain_scores_gemma":[0.9994558,0.0002345812,0.00009543636,0.00007092071,0.0001058238,0.00003745383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006799348,0.001212529,0.811432,0.0003410243,0.00007485474,0.000005767599,0.09026168,0.0002760319,0.04858015,0.0356636,0.0009792794,0.01049314],"study_design_scores_gemma":[0.0001140254,0.0004334612,0.6377694,0.00000882906,0.000002748765,8.755169e-7,0.3462356,0.0000118314,0.002002279,0.01255053,0.0007593159,0.00011106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958058,0.0005718853,6.265828e-8,0.001847929,0.00008247377,0.0003344325,0.00008999956,0.00002347051,0.001243976],"genre_scores_gemma":[0.9981449,0.00003380802,0.000007730657,0.00003755017,0.00002752978,0.0001418504,0.00001561492,7.994257e-7,0.001590206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.255974,"threshold_uncertainty_score":0.9999604,"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."}}