{"id":"W4315433414","doi":"10.1139/cjfas-2022-0096","title":"Economic diversity of Maine's American lobster fishery","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Fishing; Fishery; Frontier; Stock (firearms); Commercial fishing; Profit (economics); American lobster; Fisheries management; Baseline (sea); Economics; Geography; Homarus; Crustacean; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001208775,0.000123356,0.0002268843,0.001702599,0.0004117138,0.001237243,0.0002011163,0.0001809903,0.001227378],"category_scores_gemma":[0.003349341,0.00006672486,0.0002095885,0.001046585,0.000405372,0.0006383838,0.0007500698,0.0002297997,0.0001041476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411278,"about_ca_system_score_gemma":0.0004387659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04883498,"about_ca_topic_score_gemma":0.116229,"domain_scores_codex":[0.9996456,0.0001082972,0.00001882844,0.00006915075,0.00008529229,0.00007275149],"domain_scores_gemma":[0.9987237,0.0006235008,0.0002499283,0.0001055239,0.000181081,0.0001162644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004993342,0.00004196775,0.975962,0.00001380433,0.0001186323,0.000124825,0.0007451596,0.006247776,0.0005320114,0.002746068,0.0004415457,0.0129762],"study_design_scores_gemma":[0.000002887237,0.00002766749,0.9825149,0.00001755012,0.00001715301,0.00005154649,0.001556775,0.01292486,0.000150073,0.001364955,0.001364161,0.000007496233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981796,0.00009984478,0.0002046159,0.00008726607,5.602114e-7,0.000003107255,0.0001353925,0.000001389385,0.001288312],"genre_scores_gemma":[0.9990032,0.0001038166,0.0001381813,0.00001281831,0.000001559871,0.000003050129,0.0002988859,9.09208e-7,0.0004375632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04883498,"threshold_uncertainty_score":0.09710145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06753743243014095,"score_gpt":0.3004408108390194,"score_spread":0.2329033784088785,"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."}}