{"id":"W2971445875","doi":"","title":"Failed state: Reconstruction of domestic fisheries catches in Somalia 1950-2010","year":2014,"lang":"en","type":"article","venue":"","topic":"Global Maritime and Colonial Histories","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishery; State (computer science); Fishing; Geography; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002985942,0.00005850997,0.0001412777,0.00004605436,0.0001233144,0.00002353803,0.0001095394,0.00006518719,0.0004314552],"category_scores_gemma":[0.0002445635,0.00005689242,0.0000282177,0.0002213218,0.0004051461,0.0002017545,0.00001764094,0.00005430566,0.00002378645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007653356,"about_ca_system_score_gemma":0.0001070762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06296024,"about_ca_topic_score_gemma":0.1545135,"domain_scores_codex":[0.9992811,0.0001103223,0.0001718115,0.0001153216,0.0001492435,0.0001721942],"domain_scores_gemma":[0.9996524,0.0000888061,0.00005887753,0.00008602907,0.0000671822,0.00004666053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008768147,0.00009028174,0.8416769,0.00004514722,0.00001318941,0.000003577942,0.03677129,0.000008812704,0.000289064,0.05408244,0.005163399,0.0617682],"study_design_scores_gemma":[0.0007767916,0.0002564343,0.5660352,0.00006511504,0.00002344255,0.000003126156,0.01299307,0.00005168304,0.0007215116,0.1147842,0.3038495,0.0004398921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043918,0.00003001987,0.00003710661,0.000967674,0.0007090207,0.00008898903,0.000002444983,0.00004213742,0.09373087],"genre_scores_gemma":[0.9920179,0.00002469406,0.0005274718,0.00003911762,0.00005791107,0.000007315713,0.000001092322,0.000003049326,0.00732147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2986861,"threshold_uncertainty_score":0.9432796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044438759069203,"score_gpt":0.2467721609553794,"score_spread":0.2363277733646874,"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."}}