{"id":"W2413506668","doi":"","title":"Decision Analysis/Adaptive Management (DAAM) for Great Lakes fisheries: a general review and proposal","year":2005,"lang":"en","type":"review","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Adaptive management; Fishery; Environmental resource management; Decision analysis; Environmental planning; Fisheries management; Business; Environmental science; Fishing; Economics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006056092,0.001302214,0.002434031,0.003964378,0.0004852229,0.001779532,0.002287874,0.002812397,0.003420512],"category_scores_gemma":[0.006830192,0.0005097285,0.001072264,0.005347375,0.001371205,0.003033912,0.001274134,0.00205541,0.001146659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735199,"about_ca_system_score_gemma":0.005091906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003578739,"about_ca_topic_score_gemma":0.006373636,"domain_scores_codex":[0.9989428,0.0003059725,0.0002083433,0.0001837203,0.0002908549,0.00006830646],"domain_scores_gemma":[0.9950004,0.003431046,0.0005849338,0.00008417498,0.0007653004,0.0001341683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005429676,0.00006712214,0.0001856261,0.03193184,0.00009873111,0.0001028355,0.00006481363,0.000366457,0.0003218357,0.005112591,0.01926869,0.9424253],"study_design_scores_gemma":[0.000129947,0.0004042941,0.002424883,0.06205772,0.0009986707,0.001474819,0.0002716837,0.0006765076,0.0006298547,0.01348281,0.9173654,0.00008330384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000102124,0.9970027,0.000728175,0.00132464,0.0002814333,0.0000234122,0.00002566766,0.00001155086,0.0005003685],"genre_scores_gemma":[0.0009583081,0.995338,0.002376807,0.0007603413,0.0002796034,0.00003319668,0.00003203289,0.000002102596,0.0002195861],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006056092,"threshold_uncertainty_score":0.03202802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062199239158611,"score_gpt":0.3011477462686199,"score_spread":0.2705257538770338,"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."}}