{"id":"W2060356914","doi":"10.1109/mahc.2001.948911","title":"The complete story of codebreaking in World War II [Reviews]","year":2001,"lang":"en","type":"article","venue":"IEEE Annals of the History of Computing","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Annals; History of computing; First world war; World War II; Computer science; Library science; History; Political science; Classics; Law; Algorithm","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003497402,0.001014817,0.001152414,0.00294042,0.001647876,0.006228504,0.0008107249,0.002980394,0.01160502],"category_scores_gemma":[0.02394909,0.0005483162,0.000778403,0.005264569,0.001455519,0.005005998,0.001553745,0.006176905,0.01009084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981131,"about_ca_system_score_gemma":0.004341054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006221039,"about_ca_topic_score_gemma":0.01302131,"domain_scores_codex":[0.9963588,0.0009500799,0.00034822,0.0002669625,0.001837935,0.0002380093],"domain_scores_gemma":[0.9848343,0.005290026,0.001748567,0.0006677975,0.005870036,0.001589206],"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":[0.00002543873,0.000004468198,0.00006736636,0.00130218,0.00002370512,0.00007968217,0.0002419403,0.00002481931,0.0001288334,0.001232257,0.9213021,0.07556712],"study_design_scores_gemma":[0.000003110064,0.00002386581,0.0003842015,0.001677606,0.00001191351,0.0001220574,0.0001805062,0.000004988472,0.00005591123,0.0005567628,0.9969689,0.00001007176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004146053,0.8478312,0.0003028633,0.07517172,0.05652194,0.00005138105,0.0005108214,0.0001810924,0.01901434],"genre_scores_gemma":[0.007085028,0.8400579,0.000859973,0.07320879,0.03700377,0.0001780588,0.0007459006,0.0002534977,0.04060708],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9983521,"threshold_uncertainty_score":0.03882265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471400096183261,"score_gpt":0.2928362860290996,"score_spread":0.1456962764107734,"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."}}