{"id":"W4288090488","doi":"","title":"Trade and negotiations on fisheries subsidies","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subsidy; Fishery; Negotiation; Business; International trade; International economics; Economics; Biology; Political science; Market economy; Law","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":[0.003840936,0.0003369068,0.0006360693,0.0012665,0.002998487,0.006448545,0.0007412286,0.007518938,0.01963166],"category_scores_gemma":[0.01229581,0.0003218474,0.0006672093,0.001510357,0.004119457,0.003897626,0.003082824,0.004828704,0.0007250503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006885346,"about_ca_system_score_gemma":0.004366391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091329,"about_ca_topic_score_gemma":0.01032934,"domain_scores_codex":[0.9965937,0.001254639,0.00009085325,0.0002834556,0.0007053235,0.001072042],"domain_scores_gemma":[0.9963148,0.002728036,0.0002408906,0.0002097644,0.0003028054,0.0002036376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007993628,0.00002212585,0.0002683656,0.00002912247,0.00001120048,0.0001096609,0.0002888621,0.002077827,0.000229076,0.988734,0.003272267,0.004877628],"study_design_scores_gemma":[0.00006715598,0.00002243107,0.002122815,0.0000960501,0.00001545986,0.00006602365,0.0006217677,0.00309267,0.0003139358,0.9471434,0.04642022,0.00001793731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1823141,0.005207095,0.006164037,0.0420946,0.000559721,0.00004528725,0.000235901,0.00005018371,0.7633291],"genre_scores_gemma":[0.9538079,0.001050778,0.0004555099,0.002337755,0.00024847,0.00004419033,0.0000328718,0.00002307937,0.04199956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01963166,"threshold_uncertainty_score":0.06567442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04043745435116734,"score_gpt":0.2003218303445422,"score_spread":0.1598843759933748,"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."}}