{"id":"W3121484652","doi":"","title":"Reconstruction of marine fisheries catches for Algeria, 1950-2010","year":2012,"lang":"en","type":"article","venue":"","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishery; Geography; Marine fisheries; Fishing; Oceanography; Geology; 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":[0.0004204786,0.0003524608,0.0001657005,0.002416393,0.0003578204,0.0007674057,0.0003557093,0.0002728808,0.001878671],"category_scores_gemma":[0.0008427564,0.0002588826,0.0005846268,0.00319892,0.0003117343,0.0004771668,0.0005917458,0.0002767931,0.0004235631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002762951,"about_ca_system_score_gemma":0.001216041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1230244,"about_ca_topic_score_gemma":0.1500209,"domain_scores_codex":[0.9997804,0.0000253113,0.00003513751,0.00004921097,0.00003576257,0.00007421811],"domain_scores_gemma":[0.9996282,0.00002657034,0.0001965421,0.00002465573,0.00009717301,0.00002700065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004929699,0.00004298585,0.94981,0.0001976288,0.0007316562,0.0005237613,0.0007446095,0.004778621,0.001447179,0.002470246,0.00365033,0.03511005],"study_design_scores_gemma":[0.000003044618,0.00001352297,0.9955695,0.00001969768,0.00003106099,0.0001457213,0.000404069,0.0006111235,0.000225234,0.00004171399,0.002928257,0.000007003059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903335,0.001082236,0.0001759951,0.0002113898,0.00001572375,0.000006280511,0.0055907,0.00002265036,0.002561516],"genre_scores_gemma":[0.9935231,0.0007668825,0.0005093194,0.00002292863,0.000008509321,0.000008263482,0.00274276,0.000006412301,0.002411766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230244,"threshold_uncertainty_score":0.2446166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04152265598839745,"score_gpt":0.2767349969487304,"score_spread":0.2352123409603329,"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."}}