{"id":"W2374725259","doi":"","title":"Investigation and analysis of effect for returning farmland to forest project","year":2009,"lang":"en","type":"article","venue":"Jilin Forestry Science and Technology","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Environmental science; Forestry; Agroforestry; Geography","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":[0.003362813,0.0003479905,0.0005514856,0.0007805363,0.0005199939,0.0005686084,0.001065474,0.0005115316,0.006348434],"category_scores_gemma":[0.009103089,0.0001234718,0.001269597,0.0007529451,0.0006575126,0.000503078,0.0009392434,0.0007963637,0.0001707599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008913029,"about_ca_system_score_gemma":0.001595874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954826,"about_ca_topic_score_gemma":0.02535524,"domain_scores_codex":[0.9970823,0.001849655,0.00009621924,0.0002742058,0.0001625218,0.0005350633],"domain_scores_gemma":[0.9862726,0.008755675,0.001291122,0.0006000368,0.0009286539,0.002152015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005063032,0.001315984,0.9697657,0.0001118358,0.001156225,0.0006867043,0.0006233357,0.0018787,0.001263884,0.001155979,0.0005455966,0.01643306],"study_design_scores_gemma":[0.000062305,0.001237014,0.9926968,0.0000122394,0.0008157165,0.00009614317,0.002019398,0.001654722,0.000526122,0.0001966188,0.0006751425,0.000007805475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985795,0.0001162968,0.00009548741,0.00005958435,0.000005157434,0.00001653478,0.0001065398,0.000004591016,0.001016325],"genre_scores_gemma":[0.9989377,0.00004808351,0.00006596531,0.00001234196,0.000003160769,0.00001303762,0.00009651684,0.000002061596,0.0008211607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01954826,"threshold_uncertainty_score":0.03886896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806513160817513,"score_gpt":0.3164650483294568,"score_spread":0.2983999167212816,"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."}}