{"id":"W2035020339","doi":"10.1016/j.marpol.2006.05.011","title":"Marine ecosystem variability and human community responses: The example of Ghana, West Africa","year":2006,"lang":"en","type":"article","venue":"Marine Policy","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Freshwater Fisheries Society of BC; University of British Columbia; Fisheries and Oceans Canada","funders":"National Institutes of Natural Sciences","keywords":"Fishing; Pelagic zone; Fishery; Upwelling; Livelihood; Geography; Sea surface temperature; Marine ecosystem; Overexploitation; Ecosystem; Demersal fish; Oceanography; Environmental science; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00175519,0.000142672,0.0002077306,0.00005913958,0.0004238576,0.00004622323,0.0005044795,0.00005615692,0.006785694],"category_scores_gemma":[0.0002495112,0.0001043187,0.0000469129,0.0004187102,0.0004291302,0.00009404768,0.003219709,0.0003122113,0.00003220905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001331177,"about_ca_system_score_gemma":0.00002504653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6198815,"about_ca_topic_score_gemma":0.05009159,"domain_scores_codex":[0.9980932,0.000765868,0.0003150421,0.0002076209,0.0002781507,0.0003401353],"domain_scores_gemma":[0.9984501,0.0004580253,0.00008834843,0.0009026587,0.00001729555,0.00008354786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000519846,0.000198332,0.9758587,0.00004909861,0.000009104087,0.000002143757,0.0002761424,0.00000562402,0.0003912785,0.009341959,0.001614692,0.01220095],"study_design_scores_gemma":[0.0002323844,0.0001121743,0.8393461,0.000001492065,0.000006377893,0.000008124258,0.00006466558,0.00009626702,0.00008078892,0.006193971,0.1537552,0.0001025209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5439359,4.64878e-7,0.000008572801,0.0005573502,0.00000737438,0.0001623705,0.00001360182,0.00001665999,0.4552977],"genre_scores_gemma":[0.9864064,0.000003868141,0.0002007033,0.00006282281,0.00008012358,0.00002902444,0.00002198207,0.00001342396,0.01318164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5697899,"threshold_uncertainty_score":0.9941223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850366645013679,"score_gpt":0.2706751409371125,"score_spread":0.2421714744869757,"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."}}