{"id":"W2194623967","doi":"","title":"THE SUPERINTENDANT OF TRADE AND FISHERIES FOR NOVA SCOTIA AND THE ARMED VESSELS UNION AND HUNTER","year":2013,"lang":"en","type":"article","venue":"The Mariner s Mirror","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Fishery; Nova (rocket); International trade; Political science; Oceanography; Business; Aeronautics; Engineering; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008898486,0.0003643526,0.0003322465,0.0006860842,0.005457848,0.002245113,0.0005428267,0.002414287,0.05021161],"category_scores_gemma":[0.00291635,0.0004761969,0.0002776627,0.000344573,0.000850541,0.0008063971,0.001707512,0.003554424,0.006062485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005584484,"about_ca_system_score_gemma":0.02729367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.607642,"about_ca_topic_score_gemma":0.8903375,"domain_scores_codex":[0.9992459,0.00004140745,0.00002185018,0.00007892774,0.0002127483,0.0003992508],"domain_scores_gemma":[0.9951002,0.0002481858,0.0001691734,0.0001307569,0.001350128,0.003001632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002678053,0.00004721764,0.01775905,0.00007560549,0.00001623045,0.001391795,0.0003996682,0.0001620226,0.001683731,0.004846062,0.94722,0.0261307],"study_design_scores_gemma":[0.00003106012,0.00007589591,0.06345069,0.0001139566,0.00001259359,0.0003219548,0.002224684,0.0003133478,0.0003159356,0.0004438311,0.9326602,0.00003600364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1163842,0.009126778,0.0007973926,0.3046052,0.07229916,0.0003793601,0.003072153,0.0002834524,0.4930523],"genre_scores_gemma":[0.04819981,0.0009210504,0.0002506202,0.007711346,0.0006335245,0.00002318679,0.0002729755,0.00002592131,0.9419615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.392358,"threshold_uncertainty_score":0.7893373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531882613492036,"score_gpt":0.2310009980948225,"score_spread":0.2156821719599022,"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."}}