{"id":"W3084751294","doi":"","title":"A Comparative Study on Canadian Coast Guard and Korea Coast Guard: Focused on Relative Characteristic of two Coast Guard","year":2017,"lang":"en","type":"article","venue":"Korean Association of Maritime Police Science","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coast guard; Guard (computer science); Geography; Environmental protection; Computer science","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":[0.0005905699,0.0002240875,0.0002554196,0.002103525,0.006510543,0.001220485,0.0007265,0.0005771096,0.003555768],"category_scores_gemma":[0.002026618,0.000178942,0.0002921397,0.003741814,0.001451901,0.0009672108,0.0009676214,0.0007672255,0.0002123459],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01274879,"about_ca_system_score_gemma":0.0123168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8577792,"about_ca_topic_score_gemma":0.9560851,"domain_scores_codex":[0.9993957,0.00007200999,0.00002260404,0.0000885439,0.0001037755,0.000317342],"domain_scores_gemma":[0.9980888,0.0002430311,0.0002696564,0.00004983364,0.0007527612,0.0005958867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002461262,0.0002026509,0.8589238,0.0000818914,0.00003070096,0.003105619,0.1206938,0.0000430366,0.0008952716,0.001512489,0.001647601,0.01261701],"study_design_scores_gemma":[0.000003355951,0.00007653523,0.6818439,0.00004823326,0.00002487628,0.0004864762,0.3121695,0.00002955543,0.0001343056,0.00004663609,0.005120102,0.00001636182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977592,0.0001525322,0.00001699525,0.0001013396,0.000006540309,0.000007487754,0.00008674056,5.256471e-7,0.00186862],"genre_scores_gemma":[0.9974819,0.0002740864,0.00005167982,0.00009146199,0.000003564173,0.000006011518,0.0001450388,0.000001731236,0.001944592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9872512,"threshold_uncertainty_score":0.2861167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047480412065952,"score_gpt":0.3139640967351921,"score_spread":0.2834892926145326,"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."}}