{"id":"W2070523591","doi":"10.1016/j.jenvman.2007.03.028","title":"Implementation of resource management plans: Identifying keys to success","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Government of the United Kingdom","keywords":"Plan (archaeology); Process management; Business; Process (computing); Resource (disambiguation); Quality (philosophy); Best practice; Environmental resource management; Operations management; Environmental planning; Computer science; Engineering; Geography; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03929587,0.001021404,0.000627854,0.002916438,0.002409294,0.01234606,0.001780485,0.003304928,0.005244881],"category_scores_gemma":[0.1176539,0.0006327369,0.0004632964,0.002151875,0.002714803,0.008693023,0.005528696,0.003422709,0.001032858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004962773,"about_ca_system_score_gemma":0.02357018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005337886,"about_ca_topic_score_gemma":0.006502867,"domain_scores_codex":[0.9689342,0.01538526,0.002380113,0.001136807,0.007686725,0.004476968],"domain_scores_gemma":[0.9002916,0.05372418,0.01843645,0.003341629,0.01511882,0.009087376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005690469,0.001582772,0.259537,0.001734279,0.0003629159,0.0004945493,0.006343033,0.01348749,0.002568938,0.08028764,0.01491484,0.6181175],"study_design_scores_gemma":[0.0003438305,0.004828706,0.504028,0.004445069,0.0007277672,0.0006651218,0.06990059,0.05812977,0.01242596,0.2272276,0.1168593,0.0004182904],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6907787,0.006123041,0.08595903,0.06001897,0.0004362325,0.005035706,0.0009476866,0.0007666831,0.1499341],"genre_scores_gemma":[0.9681355,0.001490533,0.02700149,0.0005601821,0.00005891581,0.0006360714,0.0003170394,0.00004894168,0.001751385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03929587,"threshold_uncertainty_score":0.2078189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08570874368535014,"score_gpt":0.4633012219874449,"score_spread":0.3775924783020948,"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."}}