{"id":"W1640093880","doi":"","title":"Obstacles and Countermeasures For Building Unified Urban and Rural Construction Land Market","year":2015,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Environmental planning; Resource (disambiguation); Land use; Natural resource economics; Logical analysis; Land price; Environmental resource management; Geography; Economics; Civil engineering; Agricultural economics; Computer science; Engineering","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":[0.004918752,0.0002841455,0.0003739496,0.001504935,0.00181239,0.004990926,0.001450862,0.002277075,0.008061305],"category_scores_gemma":[0.01041458,0.0002023826,0.000403125,0.0009369021,0.003725236,0.005490496,0.005079058,0.002477469,0.0006588189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002871929,"about_ca_system_score_gemma":0.009311869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004858395,"about_ca_topic_score_gemma":0.004643906,"domain_scores_codex":[0.9961047,0.001386748,0.0001504321,0.0004408671,0.001080949,0.0008363379],"domain_scores_gemma":[0.9960214,0.001053948,0.0007568176,0.0005054129,0.0008993318,0.0007631034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004069479,0.0001626595,0.006853913,0.00007582731,0.00001683688,0.0002746991,0.001244303,0.001417054,0.0005503047,0.9542494,0.008375003,0.02673931],"study_design_scores_gemma":[0.0002030647,0.000221991,0.02839654,0.0004520857,0.0000602839,0.0003695602,0.01484589,0.02768305,0.002325045,0.662891,0.2624604,0.0000910746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5490031,0.003771479,0.06142268,0.1332407,0.001098363,0.0006740097,0.0002517338,0.0004230686,0.2501148],"genre_scores_gemma":[0.9794931,0.0004698625,0.00666147,0.002959005,0.0001764976,0.0001659434,0.0000733686,0.0000233753,0.009977316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008061305,"threshold_uncertainty_score":0.02696782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04878311666979034,"score_gpt":0.2782463493431751,"score_spread":0.2294632326733848,"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."}}