{"id":"W1485302495","doi":"10.22230/jem.2006v7n1a503","title":"Arrow IFPA Series: Note 4 of 8: Sustainable forest management basecase analysis: The Lemon Landscape Unit pilot project","year":2006,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Sustainable forest management; Forest management; Process (computing); Computer science; Environmental resource management; Sustainable management; Decision support system; Operations management; Business; Process management; Sustainability; Engineering; Economics; Geography; Forestry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211149,0.0002122049,0.0003652572,0.000450954,0.000190958,0.0001187804,0.0003916889,0.00003053052,0.0003345263],"category_scores_gemma":[0.000005182652,0.0001389673,0.000175208,0.0009974351,0.00008020322,0.0003896945,0.0003673259,0.0001018617,0.00002555789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007269572,"about_ca_system_score_gemma":0.000006969027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003009717,"about_ca_topic_score_gemma":0.004086297,"domain_scores_codex":[0.9981033,0.00009810762,0.00070444,0.0002157406,0.0004996759,0.0003788031],"domain_scores_gemma":[0.9988702,0.00002966677,0.0006344697,0.0003669166,0.00003336882,0.00006540048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001011469,0.001319285,0.2656219,0.003644711,0.004988452,0.002295427,0.001128852,0.1143584,0.00006313273,0.1774755,0.4237577,0.00433504],"study_design_scores_gemma":[0.00229159,0.001046611,0.1096,0.0001610423,0.003113193,0.00005520962,0.003559529,0.0065685,0.00003013692,0.001609509,0.8715159,0.0004487745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7515138,0.0006174089,0.00162316,0.001210599,0.0002994838,0.002115267,0.00001439051,0.00003027878,0.2425756],"genre_scores_gemma":[0.9672284,0.0004223556,0.0004194803,0.00007411029,0.0001146582,0.00002908332,0.000008016592,0.00001566558,0.0316882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4477582,"threshold_uncertainty_score":0.5666923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008098609829045558,"score_gpt":0.2213086384901761,"score_spread":0.2132100286611306,"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."}}