{"id":"W7065816862","doi":"","title":"Fisheries allocation policies and regional development:&#13;\\nSuccesses from the Newfoundland and Labrador shrimp fishery","year":2013,"lang":"en","type":"report","venue":"Memorial University Research Repository (Memorial University)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fishing; Shrimp; Shrimp farming; Fish <Actinopterygii>; Fisheries management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002222396,0.0003138788,0.0001696997,0.001129064,0.00211429,0.002672186,0.0008268814,0.0009883685,0.00890466],"category_scores_gemma":[0.004618244,0.0002877986,0.0002389193,0.002396886,0.0008734735,0.001079067,0.001336341,0.0009178734,0.0007799887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0325467,"about_ca_system_score_gemma":0.08689795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9456726,"about_ca_topic_score_gemma":0.9860988,"domain_scores_codex":[0.9984859,0.0001749388,0.00005567977,0.00009635964,0.0004528251,0.0007344058],"domain_scores_gemma":[0.9964772,0.0003675897,0.0002626397,0.0001344417,0.001901839,0.0008563708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005099534,0.0003733186,0.252124,0.0006503577,0.000136428,0.001010749,0.003312874,0.004582467,0.002534982,0.03651683,0.4443812,0.2538669],"study_design_scores_gemma":[0.00003173945,0.0001024519,0.6029435,0.0003190244,0.0000751736,0.00009042038,0.01111067,0.001120029,0.00375729,0.0007554391,0.3796357,0.00005855459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.455256,0.009083158,0.001176548,0.09985181,0.0004311563,0.0004135261,0.04068512,0.0003405437,0.3927621],"genre_scores_gemma":[0.5818511,0.01256731,0.003239468,0.006233231,0.00009427511,0.0001887018,0.009583374,0.00008133628,0.3861611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05432737,"threshold_uncertainty_score":0.2361439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430781200811892,"score_gpt":0.2579325123099758,"score_spread":0.2136247003018569,"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."}}