{"id":"W4416220750","doi":"10.1139/cjfr-2025-0205","title":"The influence of forestland tenure security on rural labor migration—further discussion based on migration location","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Tobit model; Leverage (statistics); Property rights; Government (linguistics); Survey data collection; Land tenure; Publicity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002505618,0.000294466,0.0004522926,0.0008534811,0.0008900953,0.00149981,0.0006363243,0.000446523,0.005230024],"category_scores_gemma":[0.005916743,0.0001274925,0.0009889158,0.001415482,0.001386721,0.001476444,0.00135797,0.0007003426,0.0002370998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232519,"about_ca_system_score_gemma":0.001499368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04728711,"about_ca_topic_score_gemma":0.05180318,"domain_scores_codex":[0.9984589,0.0008670976,0.00004574932,0.0001874697,0.0001301831,0.0003105979],"domain_scores_gemma":[0.9936776,0.003890729,0.001077959,0.0003283408,0.000571734,0.0004536664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007337389,0.00006090576,0.9733031,0.00005472454,0.00009859769,0.0003544517,0.002741808,0.002117944,0.0003137378,0.007464054,0.0005616092,0.01285562],"study_design_scores_gemma":[0.000009189843,0.00009496188,0.9736621,0.00009694202,0.0001003379,0.00006327116,0.01014223,0.01019196,0.0002172234,0.003143169,0.002258926,0.00001969589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931819,0.0004204985,0.0008437219,0.002076697,0.00002053912,0.0000157037,0.00009297924,0.000005364283,0.003342587],"genre_scores_gemma":[0.9990671,0.0001533593,0.0001288928,0.00005266656,0.00001127397,0.000007717043,0.00004298486,0.000001559149,0.0005343473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04728711,"threshold_uncertainty_score":0.0940237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111117149644334,"score_gpt":0.2531913242872041,"score_spread":0.2420796093227708,"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."}}