{"id":"W6989652369","doi":"","title":"Canadian Coast Guard, Marine Communication[s] and Traffic Services : report of the Standing Committee on Fisheries and Oceans","year":2003,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fishing; Government (linguistics); Marine fisheries","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":[0.001092081,0.001102674,0.0006362849,0.003515898,0.004082294,0.003352512,0.001962826,0.002933301,0.1017652],"category_scores_gemma":[0.003927928,0.0009596546,0.0005426746,0.007020147,0.0008379518,0.001087089,0.0008130992,0.002997452,0.03509214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02111195,"about_ca_system_score_gemma":0.0925201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859881,"about_ca_topic_score_gemma":0.9905424,"domain_scores_codex":[0.9983455,0.00003780888,0.00006281802,0.00009387194,0.001088847,0.0003711532],"domain_scores_gemma":[0.9943582,0.0002154925,0.0001331687,0.0001223063,0.004734256,0.0004365473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000279328,0.00001890298,0.0006227989,0.00007506437,0.000003225427,0.00002960088,0.00005799341,0.00009134989,0.00008493813,0.000915462,0.9866726,0.01140011],"study_design_scores_gemma":[0.0000177548,0.00001047071,0.01533704,0.0001308348,0.0000127043,0.00001740085,0.0002475363,0.0001343273,0.0002457672,0.0001764831,0.9836414,0.00002820605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00479911,0.004740955,0.0006623147,0.01196228,0.003369043,0.0009328944,0.1501438,0.0008864085,0.8225032],"genre_scores_gemma":[0.004025915,0.002558195,0.0005196089,0.001219478,0.0001013625,0.00009672967,0.01438128,0.0001635822,0.9769339],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1017652,"threshold_uncertainty_score":0.3404386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005341768419764457,"score_gpt":0.1757790512865666,"score_spread":0.1704372828668021,"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."}}