{"id":"W1986737593","doi":"10.3390/f1030099","title":"A Forest Management Process to Incorporate Multiple Objectives: a Framework for Systematic Public Input","year":2010,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Weighting; Process (computing); Forest management; Analytic hierarchy process; Management by objectives; Computer science; Environmental resource management; Hierarchy; Process management; Management science; Operations research; Business; Forestry; Mathematics; Environmental science; Engineering; Geography; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004393785,0.0002563082,0.0002637705,0.0001712883,0.0002230563,0.0001644879,0.0006885143,0.0001113952,0.0003628146],"category_scores_gemma":[0.0004628756,0.000215612,0.00009738802,0.0006725367,0.0001089466,0.0003603,0.0003598656,0.0001782494,0.00248429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000803997,"about_ca_system_score_gemma":0.00001170096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000713405,"about_ca_topic_score_gemma":0.01150662,"domain_scores_codex":[0.9981939,0.0000299042,0.0003474696,0.0004724948,0.0003712508,0.0005849375],"domain_scores_gemma":[0.9987962,0.0001476518,0.0001715809,0.0005987247,0.00002327657,0.0002625146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001303767,0.0003947998,0.8390117,0.008815685,0.0001362368,0.0000174339,0.003018395,0.004304309,0.00008640966,0.1298979,0.01292543,0.001261354],"study_design_scores_gemma":[0.00224136,0.0008263534,0.5666847,0.00264162,0.000206529,0.00001549033,0.0006268452,0.05008156,0.0002328965,0.3539855,0.02046785,0.001989366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624729,0.000003728834,0.01911275,0.0007082019,0.0004193407,0.005523836,0.00001679527,0.0001933365,0.01154914],"genre_scores_gemma":[0.9777744,5.593095e-7,0.01647491,0.0004138016,0.0001293965,0.002298994,0.00001740608,0.00004508651,0.002845427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.272327,"threshold_uncertainty_score":0.9982924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285692936989672,"score_gpt":0.2677519528788002,"score_spread":0.2548950235089035,"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."}}