{"id":"W2154115698","doi":"10.1093/icesjms/fsr041","title":"Fisheries, food security, climate change, and biodiversity: characteristics of the sector and perspectives on emerging issues","year":2011,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Food security; Climate change; Biodiversity; Natural resource economics; Business; Environmental resource management; Population; Fishery; Environmental planning; Geography; Environmental science; Ecology; Economics; Agriculture","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":[],"consensus_categories":[],"category_scores_codex":[0.0004199043,0.00008028071,0.000152068,0.00005146216,0.0002366571,0.00002887498,0.0002454693,0.00001266113,0.0001282086],"category_scores_gemma":[0.00006088451,0.00004994762,0.00002755673,0.0002071917,0.0006519565,0.0004208075,0.001568924,0.00008442693,0.00000164132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002641972,"about_ca_system_score_gemma":0.000005924698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004162697,"about_ca_topic_score_gemma":0.0002633032,"domain_scores_codex":[0.999254,0.00002219859,0.0001594914,0.0001386191,0.0002799953,0.0001457145],"domain_scores_gemma":[0.9995096,0.00001945321,0.0002789084,0.00009128822,0.00004253345,0.00005824168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003647302,0.00004082752,0.9779472,0.00002414174,0.000008168278,0.000003089632,0.01139626,3.680144e-8,0.0002736702,0.0001528242,0.00005641035,0.01006089],"study_design_scores_gemma":[0.0001144919,0.0004390508,0.9951811,0.00003556519,0.00001508495,0.00002933037,0.002503047,0.00001458715,0.0004147609,0.0004635862,0.0007233559,0.00006606973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954997,0.0001200242,3.573857e-7,0.0005646384,0.0001897562,0.00006626858,0.000007908309,0.000003235421,0.003548131],"genre_scores_gemma":[0.9986858,0.001074186,0.0001352586,0.00003728989,0.00004023332,5.669175e-7,4.42851e-8,0.00000167575,0.0000249497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01723387,"threshold_uncertainty_score":0.2402161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991271153835127,"score_gpt":0.2182105537140311,"score_spread":0.1782978421756799,"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."}}