{"id":"W4323924695","doi":"10.25071/2561-5467.988","title":"Ken W. Sayers, US Navy Patrol Vessels, a History and Directory from World War I to Today by Ian Dew","year":2023,"lang":"en","type":"article","venue":"The Northern Mariner / Le marin du nord","topic":"Colonialism, slavery, and trade","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Directory; Dew; Navy; World War II; First world war; History; Aeronautics; Engineering; Ancient history; Meteorology; Geography; Computer science; Archaeology; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000318005,0.0007885758,0.0003345228,0.002008005,0.002074871,0.003108128,0.0006261432,0.0008838169,0.08524568],"category_scores_gemma":[0.001268886,0.0004070674,0.0001598843,0.003458498,0.0008283802,0.00448602,0.001447814,0.001871185,0.04708921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854981,"about_ca_system_score_gemma":0.002430227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203556,"about_ca_topic_score_gemma":0.06552323,"domain_scores_codex":[0.9997482,0.00002756319,0.00001252055,0.00005241735,0.0001257555,0.00003354387],"domain_scores_gemma":[0.9996345,0.00007230152,0.0000385543,0.00001918249,0.0001456694,0.00008979561],"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":[0.000002167552,0.000001994091,0.0000782644,0.00003167806,3.363456e-7,0.00001247245,0.0001342294,0.000008691759,0.00002644379,0.0010608,0.9785656,0.02007721],"study_design_scores_gemma":[3.345307e-7,0.00000102603,0.0002018556,0.00006415945,2.476579e-7,0.00002425497,0.0001632833,0.000003347229,0.00001151099,0.000152082,0.999377,9.625084e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001965244,0.3200715,0.001224214,0.07840531,0.0366407,0.00005575276,0.004162481,0.001163403,0.5563115],"genre_scores_gemma":[0.004105338,0.06502266,0.0007373259,0.008244195,0.00185864,0.00003329861,0.001283858,0.0003268606,0.9183879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08524568,"threshold_uncertainty_score":0.2851751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613930483647796,"score_gpt":0.2388372349109717,"score_spread":0.2226979300744937,"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."}}