{"id":"W2347546936","doi":"","title":"Exploration and Practice of Ecological Compensation Mechanism for Environmental-friendly Agricultural Production","year":2011,"lang":"en","type":"article","venue":"","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Compensation (psychology); Subsidy; Business; Agriculture; Production (economics); Environmentally friendly; Environmental economics; Agricultural productivity; Government (linguistics); Environmental pollution; Environmental resource management; Environmental protection; Ecology; Environmental science; Economics","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":[0.0005376338,0.00004858919,0.00007138871,0.00001837531,0.0002564659,0.000008913073,0.00004427666,0.00008651986,0.00008303824],"category_scores_gemma":[0.0004783122,0.00003650265,0.00001781698,0.00003492228,0.0001353401,0.0005431859,0.00001080502,0.00003603987,0.000007586379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002738119,"about_ca_system_score_gemma":0.00001166251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001616023,"about_ca_topic_score_gemma":0.0009402654,"domain_scores_codex":[0.999418,0.0001405235,0.0001186706,0.0001299544,0.00009384932,0.00009903903],"domain_scores_gemma":[0.999551,0.0002282349,0.0001110287,0.00004007934,0.00003995244,0.00002967762],"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":[0.0001579554,0.0003749066,0.002236263,0.00001267806,0.00002702319,8.012569e-7,0.0308498,0.000006283536,0.003571333,0.9591042,0.001754035,0.001904714],"study_design_scores_gemma":[0.001597953,0.003645528,0.321756,0.00002298055,0.0003232784,0.00007074956,0.3025101,0.0003603891,0.03350434,0.313656,0.02174617,0.0008064772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325827,0.00001148604,0.001613348,0.002606106,0.0005630924,0.0007551783,0.000009405338,0.00004564166,0.06181305],"genre_scores_gemma":[0.9919195,0.0001565671,0.006800031,0.00006088585,0.00008424059,0.00003300493,0.00002625167,0.000001864666,0.0009176136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6454481,"threshold_uncertainty_score":0.1972554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06060761519900109,"score_gpt":0.2818491658255699,"score_spread":0.2212415506265688,"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."}}