{"id":"W2370425438","doi":"","title":"Factors influencing the desire for rural residential land arrangement——A case of Ganzhou District","year":2013,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Rural area; Residential area; Land use; Government (linguistics); Geography; Socioeconomics; Agricultural economics; Population; Business; Logistic regression; Economic growth; Economics; Sociology; Demography; Civil engineering; Political science; Engineering","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":[0.0003142452,0.0001868223,0.0002211338,0.00002218852,0.000536819,0.0001382543,0.0002748754,0.00007771204,0.0002440948],"category_scores_gemma":[0.0001698448,0.00006141514,0.000152551,0.0003398046,0.00009364794,0.0002865447,0.00009659383,0.00009983888,0.000007457794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000542085,"about_ca_system_score_gemma":0.00001965786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221087,"about_ca_topic_score_gemma":0.0007645509,"domain_scores_codex":[0.9987451,0.00007145986,0.0003641198,0.0002236659,0.0001864313,0.0004092382],"domain_scores_gemma":[0.9991131,0.0003720833,0.0001554883,0.00009173433,0.0001782728,0.00008930143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009471693,0.0001451928,0.6927856,0.0002106606,0.0001402936,0.00004129966,0.00453729,0.00002038774,0.1928226,0.001041388,0.004095808,0.1040648],"study_design_scores_gemma":[0.0002356806,0.0001588859,0.9711801,0.00003388282,0.0000323454,0.00001712328,0.01596394,0.00008070702,0.009059601,0.002275358,0.0006888144,0.0002734933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982585,0.00008227614,0.00002097263,0.0004975352,0.0001439395,0.0007535924,0.00002056388,0.00004838749,0.0001741889],"genre_scores_gemma":[0.999359,0.000006396428,0.00004795799,0.0000499362,0.0001252858,0.00004167335,0.00004392372,0.000001971002,0.0003239302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2783946,"threshold_uncertainty_score":0.4128832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285911105024017,"score_gpt":0.236342241918157,"score_spread":0.2077511314157553,"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."}}