{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000904115,0.0002331503,0.0003446775,0.00002885663,0.0002168752,0.00005478357,0.0004646728,0.0001673247,0.0002923839],"category_scores_gemma":[0.0009508385,0.00009138106,0.00013339,0.001245683,0.000309391,0.0003121624,0.0002740917,0.0001891706,0.000009926199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006165255,"about_ca_system_score_gemma":0.00005972802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118309,"about_ca_topic_score_gemma":0.0008667952,"domain_scores_codex":[0.997808,0.0001671003,0.0005839142,0.0004406955,0.0003939979,0.000606249],"domain_scores_gemma":[0.998762,0.00020335,0.0001509096,0.0001544396,0.0006473573,0.00008200012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002924781,0.0001744239,0.8903988,0.00004104068,0.000005481889,0.000003693491,0.0006689766,0.000001402922,0.00210226,0.00006375943,0.004822467,0.1014252],"study_design_scores_gemma":[0.0002009239,0.0001939482,0.9809604,0.00005929996,0.000003685871,9.993792e-7,0.002638145,0.000008981133,0.000889622,0.01426042,0.0005597368,0.0002237852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996871,0.00008212786,0.00001125342,0.001597824,0.0001562637,0.0006545215,0.000009201792,0.0000437416,0.0005740451],"genre_scores_gemma":[0.9991501,0.000005237133,0.0001590672,0.00003961486,0.0001063323,0.00002513884,0.00002545189,0.000001299919,0.0004877415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1012014,"threshold_uncertainty_score":0.3726411,"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."}}