{"id":"W2393085368","doi":"","title":"Study on External Effect of Woodland Appraisement Must Be Enforced","year":2000,"lang":"en","type":"article","venue":"Resource Development & Market","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Woodland; Compensation (psychology); Business; Environmental resource management; Moment (physics); Environmental planning; Natural resource economics; Ecology; Geography; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001042234,0.0003401771,0.0003149978,0.00005950329,0.0001591347,0.00002317078,0.0004796612,0.00007177085,0.02755321],"category_scores_gemma":[0.0000254256,0.0002834724,0.00007186268,0.0001730348,0.0001420715,0.00007714408,0.0003161219,0.0001887152,0.0004970504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356508,"about_ca_system_score_gemma":0.000006304299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003167404,"about_ca_topic_score_gemma":0.00001623866,"domain_scores_codex":[0.9973112,0.0002682467,0.000416845,0.0005447306,0.001029336,0.0004296787],"domain_scores_gemma":[0.9990249,0.0002061224,0.0001200715,0.0004877349,0.000001371656,0.000159743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00122619,0.0009734817,0.8479795,0.00005378546,0.0001062386,0.00008588447,0.006484956,0.0008880607,0.001026835,0.000001298396,0.01397043,0.1272033],"study_design_scores_gemma":[0.001742684,0.0009161308,0.7738997,0.0000674894,0.00002409361,0.000009875425,0.0002715439,0.0000418687,0.007494171,0.00000254791,0.2151682,0.0003616645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8299432,0.00001834484,0.000008386958,0.0000371216,0.00004981614,0.0007247165,0.000005276206,0.00003627349,0.1691769],"genre_scores_gemma":[0.9827235,0.00001188386,0.000497207,0.0002164545,0.00004195248,0.0001128185,0.00001119116,0.00003644283,0.01634859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2011978,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027543083004995,"score_gpt":0.2421939729859172,"score_spread":0.2319185421558672,"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."}}