{"id":"W7038255380","doi":"","title":"With HMS &lt;em&gt;Prince of Wales&lt;/em&gt; and HMS &lt;em&gt;Warspite&lt;/em&gt;: The Adventures of a Canadian Radar Officer in the Royal Navy","year":2012,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"International Relations and Autism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Adventure; Navy; Officer; Radar; Drone; Tower; Pilotage","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":[0.001735569,0.0008747135,0.0004478613,0.0009173974,0.0244225,0.00616632,0.001143268,0.006857063,0.2324058],"category_scores_gemma":[0.004278341,0.0004841499,0.0006297895,0.001104019,0.005396967,0.002736692,0.007882508,0.006859069,0.05506492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01626409,"about_ca_system_score_gemma":0.03935378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7162171,"about_ca_topic_score_gemma":0.8924099,"domain_scores_codex":[0.9981242,0.0001743755,0.00004684765,0.000183929,0.0005722817,0.000898255],"domain_scores_gemma":[0.99362,0.0002634896,0.0001567992,0.0001175281,0.001052506,0.004789667],"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":[0.00003253349,0.00002364251,0.0008189287,0.00003407536,0.000003108305,0.0002382748,0.002288477,0.00004994111,0.0002691176,0.004717367,0.9768834,0.01464126],"study_design_scores_gemma":[0.000003054241,0.000006465643,0.001402375,0.00003663577,0.000001745608,0.00003241932,0.004509752,0.00001754524,0.00004378093,0.0003113171,0.993627,0.000008032323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01138306,0.009502159,0.0003323368,0.5373977,0.0529515,0.0001293755,0.001058373,0.0002401046,0.3870054],"genre_scores_gemma":[0.01006303,0.0006536926,0.00008368469,0.006442522,0.001107412,0.00001252386,0.00003781841,0.00005225729,0.9815471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2837829,"threshold_uncertainty_score":0.7774748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163110575325543,"score_gpt":0.2230650958411701,"score_spread":0.2114339900879147,"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."}}