{"id":"W7095012937","doi":"10.5281/zenodo.17444837","title":"THE EFFICACY OF FOREST LAWS AND GOVERNANCE IN FOSTERING SUSTAINABLE FORESTRY IN PAKISTAN","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Governance, Compliance, and Sustainability","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Journal of Communication (Canada)","funders":"","keywords":"Nexus (standard); Corporate governance; Sustainable forest management; Deforestation (computer science); Incentive; Forest management; Language change; Community forestry; Argument (complex analysis)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001701794,0.0002468481,0.0003279028,0.0002559918,0.001846695,0.001316632,0.001217325,0.0000982763,0.0003858196],"category_scores_gemma":[0.001920145,0.0002418051,0.00006688423,0.00185492,0.0006240874,0.0009303339,0.004053668,0.000438337,0.0000847517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004484727,"about_ca_system_score_gemma":0.0000215129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472302,"about_ca_topic_score_gemma":0.0001652132,"domain_scores_codex":[0.9974015,0.0001514715,0.0007078493,0.0005865379,0.0003581367,0.0007945265],"domain_scores_gemma":[0.9980961,0.0001445267,0.0003615044,0.0006341905,0.0007300308,0.00003361719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001691263,0.001028326,0.02459407,0.006585784,0.00007699992,0.0001710565,0.001415151,0.0009004622,0.00008333474,0.6976826,0.02559431,0.2401766],"study_design_scores_gemma":[0.001907244,0.0000458078,0.2882849,0.0003862652,0.00001423981,0.000003030087,0.004695934,0.001994375,0.00000841217,0.007082171,0.6953808,0.0001967861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7819437,0.003230101,0.00038876,0.003461867,0.0002343647,0.001905558,0.00003344802,0.0001461915,0.208656],"genre_scores_gemma":[0.9960967,0.0006690648,0.0000143062,0.00009919147,0.00009180105,2.201336e-7,0.00003954437,0.0003478001,0.002641404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6906005,"threshold_uncertainty_score":0.9997201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672685919679303,"score_gpt":0.2512315325106922,"score_spread":0.2345046733138992,"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."}}