{"id":"W2952679895","doi":"10.1038/s41558-019-0506-9","title":"Fishing communities at risk","year":2019,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Fishing; Geography; Environmental resource management; Environmental science; Fishery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005938154,0.0002720438,0.0003316477,0.002142455,0.001850434,0.001911503,0.0005746887,0.0008581651,0.04100754],"category_scores_gemma":[0.003389703,0.0001851493,0.0003752062,0.001235506,0.0005559649,0.002357892,0.002798005,0.001093171,0.003059242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009323113,"about_ca_system_score_gemma":0.001026801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0099935,"about_ca_topic_score_gemma":0.03112387,"domain_scores_codex":[0.9988638,0.0002201871,0.00004057903,0.0001444624,0.0003169614,0.0004139869],"domain_scores_gemma":[0.9979753,0.0001999251,0.0004257773,0.0001236113,0.0002950117,0.0009804012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002656762,0.0003845552,0.6348985,0.0001238909,0.000321337,0.001669697,0.006929791,0.003159607,0.001699137,0.1066163,0.03468524,0.2092463],"study_design_scores_gemma":[0.000048204,0.0002861272,0.7327048,0.0003044156,0.0001918618,0.003490006,0.03398278,0.008558906,0.0004489576,0.08762354,0.1322602,0.0001001084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.654566,0.0006290518,0.002629626,0.005987464,0.0001155882,0.00009104976,0.001467634,0.00006855802,0.334445],"genre_scores_gemma":[0.9611925,0.0004163226,0.0006452488,0.0005385153,0.0000689243,0.00005300559,0.0005303809,0.00001491113,0.03654005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04100754,"threshold_uncertainty_score":0.1371839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891930125992942,"score_gpt":0.268538007719574,"score_spread":0.2396187064596446,"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."}}