{"id":"W2374918672","doi":"","title":"About Forest Resources Property Right System in China","year":2007,"lang":"en","type":"article","venue":"Zhejiang linye keji","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Property rights; Forest management; Intact forest landscape; Resource (disambiguation); Environmental resource management; Business; Property (philosophy); Agroforestry; Geography; Forest ecology; Ecology; Forestry; Environmental science; Political science; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002383895,0.0001884162,0.0002880615,0.0002083609,0.0006548612,0.00008775289,0.0005049121,0.0003589443,0.0001081525],"category_scores_gemma":[0.0003670968,0.000133085,0.00009134645,0.000454092,0.0003564357,0.0001961328,0.00005139412,0.0003730755,0.000346897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256806,"about_ca_system_score_gemma":0.0001512375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01186333,"about_ca_topic_score_gemma":0.114546,"domain_scores_codex":[0.9978236,0.0002311148,0.0004094262,0.0003557902,0.0003914542,0.0007885976],"domain_scores_gemma":[0.9989216,0.0003739383,0.0001366617,0.0002603498,0.00004791418,0.0002595714],"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":[0.0001526231,0.0001575346,0.8710482,0.0001387579,0.00003530226,0.0005569015,0.0515181,0.00005104773,0.00001907956,0.0618095,0.01013574,0.004377266],"study_design_scores_gemma":[0.0006329227,0.0001121202,0.4901522,0.0002994484,0.00001885953,0.00002425072,0.007872752,0.0001911455,0.00005272011,0.001371224,0.4988438,0.0004286555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.687265,0.000396536,0.00002044224,0.0005039771,0.0008322191,0.0003316223,0.000009679174,0.0001870782,0.3104535],"genre_scores_gemma":[0.9856505,0.00005771186,0.0001932344,0.000195918,0.0009824978,0.00001644843,0.00001751541,0.00002083472,0.01286531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.488708,"threshold_uncertainty_score":0.9947168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067106235435644,"score_gpt":0.2596220151221947,"score_spread":0.2489509527678382,"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."}}