{"id":"W2332943788","doi":"10.5751/es-05971-180430","title":"Impacts of Climate Variability on Latin American Small-scale Fisheries","year":2013,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Ministerio de Economía, Fomento y Turismo, Chile; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación; Natural Sciences and Engineering Research Council of Canada; Fundación Charles Darwin; Consejo Nacional de Ciencia y Tecnología","keywords":"Latin Americans; Fisheries science; Fishery; Scale (ratio); Climate change; Geography; Fisheries management; Ecology; Environmental resource management; Environmental science; Political science; Fishing; Biology; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006023091,0.0002596633,0.0001791106,0.0005860388,0.000421421,0.001031506,0.0002350506,0.000377433,0.003617232],"category_scores_gemma":[0.001705645,0.00008416626,0.0004147305,0.001110447,0.0004994075,0.0004412576,0.001524253,0.0003941358,0.0002096647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293047,"about_ca_system_score_gemma":0.0007798612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05338924,"about_ca_topic_score_gemma":0.06762634,"domain_scores_codex":[0.9996686,0.0001112105,0.00002011293,0.00005678214,0.00005587874,0.00008733061],"domain_scores_gemma":[0.9992689,0.0001399376,0.000297023,0.00004673538,0.0001519072,0.00009546799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004196232,0.000108359,0.8859998,0.000338447,0.0005037532,0.0011756,0.0008756001,0.005268448,0.003628046,0.005666703,0.01078077,0.08523486],"study_design_scores_gemma":[0.00001804987,0.00003866831,0.9832289,0.0001940589,0.0001028981,0.0001193044,0.00134251,0.001537448,0.0003449675,0.001796361,0.01124993,0.00002686288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568498,0.01057221,0.0003666066,0.009741046,0.0001557454,0.00001137865,0.002052357,0.0000516683,0.02019928],"genre_scores_gemma":[0.9954526,0.003190963,0.00009178569,0.0003047746,0.0000554795,0.000005509321,0.0003306127,0.00001322026,0.0005549541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05338924,"threshold_uncertainty_score":0.106157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009144909203289036,"score_gpt":0.2306367154263882,"score_spread":0.2214918062230992,"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."}}