{"id":"W7002161030","doi":"","title":"Maritime distress and safety communications in Canada","year":2001,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Distress; Marine safety; Government (linguistics); Occupational safety and health","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":[0.0004329617,0.0003959481,0.0002786225,0.003751084,0.005082479,0.002805362,0.001053391,0.001394362,0.05320702],"category_scores_gemma":[0.002061963,0.0003586653,0.0003459563,0.008845168,0.0008382222,0.00069382,0.001364277,0.001256003,0.00449917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03824365,"about_ca_system_score_gemma":0.09331458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970071,"about_ca_topic_score_gemma":0.9987319,"domain_scores_codex":[0.9990585,0.00002997098,0.00003233726,0.00005673126,0.0004328696,0.0003894777],"domain_scores_gemma":[0.9975581,0.0001556237,0.0001281745,0.00003365867,0.001425266,0.0006991517],"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":[0.0001040831,0.00005154697,0.04430641,0.0003749524,0.00001792246,0.0005702719,0.002080845,0.000510478,0.000163641,0.005771738,0.849315,0.09673323],"study_design_scores_gemma":[0.00001387343,0.00002227874,0.2751388,0.0003046485,0.00002454769,0.0001549959,0.006215751,0.000286149,0.0001331414,0.0003803673,0.7172872,0.00003825119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1006673,0.03224387,0.0003621636,0.06040288,0.004208424,0.000242479,0.1020254,0.000369523,0.699478],"genre_scores_gemma":[0.1374421,0.0198981,0.0003378889,0.002950518,0.0003537079,0.00004255051,0.01216548,0.00009172127,0.8267179],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05320702,"threshold_uncertainty_score":0.2774784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003823435903948632,"score_gpt":0.1892749091095861,"score_spread":0.1854514732056375,"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."}}