{"id":"W2803903581","doi":"10.3390/su10051647","title":"Decision Making of Non-Agricultural Work by Rural Residents in Weifang, China","year":2018,"lang":"en","type":"article","venue":"Sustainability","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":"Beijing Normal University","keywords":"Urbanization; China; Work (physics); Agriculture; Economic growth; Arable land; Rural area; Geography; Descriptive statistics; Socioeconomics; Business; Political science; Sociology; 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":[0.0007974473,0.0002705449,0.0001957824,0.0005658951,0.001082983,0.0006028305,0.0002986068,0.0002624021,0.0009814552],"category_scores_gemma":[0.001293183,0.0001740476,0.0002659345,0.0008032229,0.0005303915,0.0003576376,0.0005231812,0.0003179495,0.00009932714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350175,"about_ca_system_score_gemma":0.001578852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05756229,"about_ca_topic_score_gemma":0.1758832,"domain_scores_codex":[0.9995747,0.0001851089,0.00002729096,0.00005920069,0.00004215123,0.0001114413],"domain_scores_gemma":[0.9992164,0.0002249614,0.0002376573,0.00002944913,0.00006139295,0.0002301436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008945124,0.0001866685,0.9765879,0.00003254455,0.00004004667,0.0003345309,0.01168076,0.0004894389,0.0004764297,0.0001598914,0.0003892376,0.009533194],"study_design_scores_gemma":[0.000008889209,0.0000986547,0.9761413,0.00001895048,0.00001154028,0.0000626929,0.02144851,0.001382029,0.00007934329,0.0001729766,0.0005621141,0.00001302121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998403,0.00001675804,0.00001290828,0.00002939356,5.874522e-7,0.000002626874,0.00001568188,3.029302e-7,0.00008145481],"genre_scores_gemma":[0.9996318,0.00004196816,0.00005550633,0.00001511879,0.000001133997,0.000007447183,0.00004994953,3.456997e-7,0.0001967092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05756229,"threshold_uncertainty_score":0.1144545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004832525540604731,"score_gpt":0.2459476335311838,"score_spread":0.2411151079905791,"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."}}