{"id":"W2047656794","doi":"10.1016/j.marpol.2014.08.012","title":"Introduction to the special issue marine policy science, state and fishers knowledge in the Benguela ecosystem in Southern Africa","year":2014,"lang":"en","type":"article","venue":"Marine Policy","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Context (archaeology); Marine ecosystem; State (computer science); Geography; Ecosystem; Political science; Environmental resource management; Fishery; Oceanography; Ecology; Environmental science; Biology; Computer science; Geology; Archaeology","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":[0.001824167,0.0009559705,0.0009719821,0.002534882,0.002156467,0.005314007,0.001375227,0.003240958,0.03439858],"category_scores_gemma":[0.003070335,0.0003196412,0.0007227059,0.001949561,0.001053646,0.003378022,0.002874364,0.004101298,0.003968008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100947,"about_ca_system_score_gemma":0.004022851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001133,"about_ca_topic_score_gemma":0.02877606,"domain_scores_codex":[0.9994805,0.00009435432,0.00005382595,0.00009498803,0.0001294171,0.000146891],"domain_scores_gemma":[0.996653,0.00133461,0.0002607006,0.00008265695,0.0006241532,0.001044943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002379742,0.00003089561,0.0004562167,0.0003047909,0.000006849691,0.0001449881,0.0002800928,0.00006502619,0.0002498933,0.001682837,0.9801626,0.01659203],"study_design_scores_gemma":[0.000006969871,0.00002428241,0.003465144,0.0004328121,0.00001026595,0.0001381002,0.0008218173,0.00006995393,0.00009870176,0.001197046,0.9937227,0.00001223195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.004294053,0.07598795,0.0009105829,0.3190879,0.5725533,0.0001031458,0.001537165,0.0001055035,0.02542031],"genre_scores_gemma":[0.02327916,0.07627808,0.0009741989,0.07321264,0.6683958,0.0001918923,0.001761493,0.0003003734,0.1556063],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03439858,"threshold_uncertainty_score":0.1150748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004903867931352782,"score_gpt":0.2157377991861509,"score_spread":0.2108339312547981,"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."}}