{"id":"W3037140836","doi":"","title":"管制之外的“管制”：城中村非正规部门的空间集聚与生存状态－以广州市下渡村为例","year":2008,"lang":"zh","type":"article","venue":"地理研究","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Informal sector; Quarter (Canadian coin); Local government; Business; Government (linguistics); Autonomy; Economic growth; Geography; Public administration; Political science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001219843,0.0001994695,0.0001208198,0.00060207,0.00172637,0.001701248,0.0003305284,0.0003725244,0.009612316],"category_scores_gemma":[0.001562968,0.0001280668,0.0001883257,0.001137624,0.002552638,0.001562703,0.0006879367,0.0003849522,0.001147742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064245,"about_ca_system_score_gemma":0.00182287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170616,"about_ca_topic_score_gemma":0.01900027,"domain_scores_codex":[0.9991714,0.0003264875,0.00006007014,0.0001557722,0.000157067,0.0001293083],"domain_scores_gemma":[0.9988061,0.0003869314,0.0002768804,0.0001509719,0.0002698258,0.0001093297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002465466,0.0001501154,0.4139336,0.001203271,0.00009834563,0.003192479,0.1007925,0.001608231,0.008709026,0.2055312,0.02150175,0.2430328],"study_design_scores_gemma":[0.00004050683,0.0001817001,0.555832,0.000447304,0.00009555502,0.001480746,0.07610373,0.002569991,0.005257274,0.03050123,0.3274072,0.00008285654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7587777,0.001668789,0.01469504,0.006561414,0.0001800067,0.000233901,0.0005302815,0.00009449491,0.2172584],"genre_scores_gemma":[0.9844333,0.0004033974,0.001857098,0.0002308267,0.00003172195,0.00005125205,0.0001241585,0.000006344401,0.01286195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01170616,"threshold_uncertainty_score":0.03215641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08065259786722426,"score_gpt":0.2817573888190387,"score_spread":0.2011047909518144,"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."}}