{"id":"W2391346923","doi":"","title":"Game Analysis of the Policy of Returning Farmland to Lake","year":2007,"lang":"en","type":"article","venue":"","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Government (linguistics); China; Investment (military); Commodity; Flood myth; Distribution (mathematics); Geography; Agricultural economics; Business; Politics; Economics; Political science; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008481939,0.00005485254,0.0001464186,0.000178245,0.00007234099,0.000009180856,0.0002231125,0.00003844303,0.001419721],"category_scores_gemma":[0.000175491,0.00003760033,0.0001204636,0.001429742,0.0001861597,0.00005390951,0.00006548313,0.00004265951,0.00001213958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009093231,"about_ca_system_score_gemma":0.00003877083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009230967,"about_ca_topic_score_gemma":0.05651819,"domain_scores_codex":[0.9990158,0.00006939137,0.0001996857,0.00009836524,0.0003953895,0.000221349],"domain_scores_gemma":[0.9995086,0.0000719743,0.000111504,0.0001932549,0.0000131899,0.0001015256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002983921,0.0001249732,0.9380565,0.000006330094,0.0004213373,9.09009e-7,0.03070776,0.0008770148,0.02107728,0.0062677,0.0003484459,0.002081893],"study_design_scores_gemma":[0.0002095546,0.0000631833,0.9432417,0.00001582544,0.0002699668,1.421048e-7,0.01073034,0.00006029848,0.01957069,0.0001103731,0.02559127,0.0001366645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8969386,0.000005811066,0.0005437268,0.0005646105,0.00003042897,0.000112227,0.00001360192,0.000006872276,0.1017841],"genre_scores_gemma":[0.9954295,0.000007431219,0.00009142012,0.0002966914,0.00003077511,5.191833e-7,0.000001722493,0.000003756883,0.004138245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09849086,"threshold_uncertainty_score":0.9994931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763163951041318,"score_gpt":0.4303831281359366,"score_spread":0.4127514886255234,"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."}}