{"id":"W2270079946","doi":"","title":"Valuation of Iran s forest and comparison with India and Canada","year":2003,"lang":"en","type":"dissertation","venue":"INFLIBNET","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Business; Geography; Forestry; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006527129,0.0002898451,0.000259355,0.002402761,0.001062038,0.002431918,0.0007403073,0.0003478729,0.004642542],"category_scores_gemma":[0.002852875,0.00009107564,0.0004451367,0.005704855,0.001203096,0.0009295921,0.0004478133,0.0005129288,0.0002127762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01749059,"about_ca_system_score_gemma":0.006644439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7503951,"about_ca_topic_score_gemma":0.8750783,"domain_scores_codex":[0.9995407,0.00009400207,0.000009703888,0.00002685605,0.0001640908,0.0001647785],"domain_scores_gemma":[0.9987526,0.0003640989,0.0001210447,0.00004713158,0.0005641722,0.0001508291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003547072,0.0005256979,0.4744422,0.0002683249,0.0002699944,0.002098446,0.003425409,0.06184613,0.002861915,0.2391497,0.02106027,0.1905049],"study_design_scores_gemma":[0.0001975116,0.0004320792,0.780116,0.0002225414,0.0004679631,0.0008877758,0.0425524,0.07657033,0.003027255,0.04317863,0.05221008,0.0001374178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9191186,0.0009566224,0.0002417486,0.001050911,0.00001578228,0.00001762331,0.0005406865,0.00001006529,0.07804793],"genre_scores_gemma":[0.9959644,0.0003784151,0.0001542491,0.00002348079,0.000006238444,0.000002696018,0.0001969462,0.000004331031,0.00326914],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2496049,"threshold_uncertainty_score":0.5021497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195509416676288,"score_gpt":0.2218314010971697,"score_spread":0.1998763069304068,"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."}}