{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005893932,0.0006200404,0.0007698283,0.0007022604,0.0007558708,0.001744386,0.0009273809,0.0009763491,0.023222],"category_scores_gemma":[0.03682426,0.0001715343,0.001411567,0.0009667838,0.00111982,0.002457404,0.00162005,0.002430298,0.001168651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550613,"about_ca_system_score_gemma":0.001970712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005153765,"about_ca_topic_score_gemma":0.004347607,"domain_scores_codex":[0.9947128,0.002006824,0.0003044044,0.0008009577,0.001546242,0.0006287268],"domain_scores_gemma":[0.9218395,0.05247496,0.009085907,0.005419669,0.008326874,0.002853115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009009314,0.006008595,0.7106102,0.002328096,0.001823056,0.001457003,0.002985121,0.009862213,0.007962252,0.03768269,0.007435765,0.2028356],"study_design_scores_gemma":[0.0002078247,0.002255965,0.9556943,0.000457977,0.0007892218,0.000148324,0.003937315,0.005007999,0.005888094,0.0113243,0.01420742,0.00008121722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288855,0.003614151,0.007124807,0.004421718,0.0006099258,0.0005993355,0.001256828,0.00008055333,0.05340715],"genre_scores_gemma":[0.9905313,0.0007116659,0.0009656427,0.0006009361,0.0001481856,0.0001439442,0.0003696154,0.00003566449,0.00649311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.023222,"threshold_uncertainty_score":0.07768536,"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."}}