{"id":"W2343111770","doi":"","title":"Regression Analysis Research on the Impact of Urbanization on Farmers’ Consumption Structure","year":2016,"lang":"en","type":"article","venue":"Canadian social science","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Consumption (sociology); Rural area; Argument (complex analysis); Economic growth; Clothing; Business; Social security; Agricultural economics; Economics; Geography; Political science; Sociology; Market economy; Social science","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":[0.001552477,0.0004252233,0.0002967151,0.001506885,0.000312996,0.0006671428,0.0003578194,0.000175031,0.005269488],"category_scores_gemma":[0.009145821,0.0001801674,0.0009117333,0.004232938,0.0004449059,0.0007443218,0.0003678505,0.0006637739,0.0005626453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170198,"about_ca_system_score_gemma":0.0009227114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02437142,"about_ca_topic_score_gemma":0.02230178,"domain_scores_codex":[0.9987332,0.0006682989,0.00005999062,0.0002123871,0.0001995578,0.000126492],"domain_scores_gemma":[0.9926471,0.005348092,0.0009519255,0.0003172958,0.0006206132,0.0001150655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001328544,0.0001006223,0.9442052,0.0001549018,0.0006073907,0.0003230794,0.001300703,0.008436557,0.0008811898,0.005924659,0.001165227,0.03676768],"study_design_scores_gemma":[0.000007801467,0.0001641155,0.9518575,0.00007167189,0.000316085,0.000196332,0.003283861,0.03476217,0.001504563,0.002151837,0.005657779,0.00002632877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749859,0.0006557069,0.01255132,0.0004681094,0.00003103565,0.0000481408,0.001037022,0.00008395305,0.01013877],"genre_scores_gemma":[0.9955894,0.0004518208,0.001523355,0.00002433981,0.00001679698,0.00002030025,0.000510661,0.00001573152,0.001847491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02437142,"threshold_uncertainty_score":0.04845911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07276103490651828,"score_gpt":0.3568734264535135,"score_spread":0.2841123915469952,"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."}}