{"id":"W2379065475","doi":"","title":"Study on the Externalities and Internalities of Land-use Control and the System Improvements","year":2012,"lang":"en","type":"article","venue":"Ruan kexue","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Externality; Land use; Natural resource economics; Business; Land management; Control (management); Institution; Distribution (mathematics); Function (biology); Resource (disambiguation); Agricultural land; Land development; Environmental resource management; Economics; Environmental planning; Geography; Ecology; Microeconomics","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":[0.001926343,0.0003903991,0.0004236521,0.0009275272,0.0005190562,0.00203361,0.0006302014,0.0005011497,0.006508285],"category_scores_gemma":[0.004629993,0.0002450074,0.0007755059,0.001061245,0.001320102,0.00241697,0.001554525,0.0008926152,0.0002292561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003192141,"about_ca_system_score_gemma":0.001651741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003719171,"about_ca_topic_score_gemma":0.004634839,"domain_scores_codex":[0.9977992,0.0005965422,0.0001040096,0.0003419424,0.0006474268,0.0005108852],"domain_scores_gemma":[0.9965137,0.001246287,0.000912896,0.0002888751,0.000845241,0.0001930446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003529669,0.0005367412,0.2368732,0.000638103,0.0008493334,0.001184497,0.002084103,0.1808338,0.007249538,0.4562066,0.003679227,0.1095119],"study_design_scores_gemma":[0.00007023167,0.0007619495,0.5689716,0.0003455675,0.0007531659,0.0006610481,0.00835125,0.1681454,0.01145772,0.1848414,0.05550763,0.0001331165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327858,0.001266542,0.04568002,0.002524331,0.0000999889,0.0001698798,0.0005739742,0.0001959378,0.1167036],"genre_scores_gemma":[0.9950255,0.0002805039,0.000980772,0.00005584653,0.00002452524,0.00002301324,0.00006889079,0.00001678285,0.003524207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006508285,"threshold_uncertainty_score":0.0231607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257558441782333,"score_gpt":0.1952774427005693,"score_spread":0.182701858282746,"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."}}