{"id":"W4249393419","doi":"10.1093/obo/9780199791279-0058","title":"Submarine Warfare","year":2012,"lang":"en","type":"dataset","venue":"","topic":"Maritime Security and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Submarine; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006723003,0.002723082,0.001281931,0.004213367,0.000869451,0.001772315,0.002515119,0.002359974,0.02881686],"category_scores_gemma":[0.003780515,0.0004984838,0.001928873,0.004962134,0.0004367624,0.001006911,0.001501103,0.001586306,0.03353509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332996,"about_ca_system_score_gemma":0.00234347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06748426,"about_ca_topic_score_gemma":0.1545081,"domain_scores_codex":[0.9993154,0.0001138206,0.00008087385,0.0001882535,0.0001649672,0.0001366658],"domain_scores_gemma":[0.9986812,0.0003073867,0.0001415856,0.0003450298,0.0003189148,0.0002058443],"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":[0.0001083065,0.00004613219,0.001951327,0.0005753422,0.00007131974,0.00003847617,0.00002292719,0.0007418286,0.0001113001,0.0003121819,0.9913313,0.004689572],"study_design_scores_gemma":[0.0004179476,0.0000512093,0.01802394,0.0004585496,0.0001252117,0.0001735256,0.0001778328,0.002166616,0.0005925759,0.0009757765,0.9767696,0.00006709032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007463268,0.0001553287,0.00008289855,0.00009561787,0.00004787461,0.00001638605,0.9977661,0.0002865841,0.0008028032],"genre_scores_gemma":[0.0009412864,0.00008341754,0.0002286433,0.00004278018,0.000009837901,0.00004363401,0.9977397,0.00002922283,0.0008815527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06748426,"threshold_uncertainty_score":0.1341829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289980663453397,"score_gpt":0.2985512404450141,"score_spread":0.2695531740996744,"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."}}