{"id":"W2900771395","doi":"10.1080/17449359.2018.1547647","title":"Amodern and modern warfare in the making of a commercial airline","year":2018,"lang":"en","type":"article","venue":"Management & Organizational History","topic":"World Wars: History, Literature, and Impact","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Narrative; Extant taxon; Power (physics); Sociology; Reading (process); Military history; Modern warfare; Style (visual arts); Salient; Organization studies; Key (lock); History; Law; Political science; Psychology; Computer security; Literature; Computer science; Social psychology; Archaeology; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004374852,0.00008807659,0.0001067459,0.0001627944,0.0002873125,0.00002012023,0.0002645038,0.00004344751,0.0003518227],"category_scores_gemma":[0.00005052323,0.00007920512,0.00002181816,0.0003249882,0.0004372378,0.0001507528,0.00005190475,0.00007868231,0.00001103408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804247,"about_ca_system_score_gemma":0.00008069797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001299459,"about_ca_topic_score_gemma":0.001667875,"domain_scores_codex":[0.9989713,0.0001378481,0.0001744387,0.0001675411,0.0003870159,0.0001618654],"domain_scores_gemma":[0.9996074,0.00002749336,0.00008499937,0.0001504408,0.0001079735,0.00002169886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006964515,0.0002995552,0.04278732,0.0001096177,0.00005499979,0.00001663471,0.4305308,0.00002881292,0.00006822983,0.2600433,0.2582069,0.007784207],"study_design_scores_gemma":[0.0003510846,0.00004494064,0.07435197,0.00004607231,0.00002885441,8.136582e-7,0.002452448,0.0002071416,0.000001728424,0.002828035,0.9195282,0.0001586561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.174374,0.007506615,0.006673027,0.01284947,0.002738679,0.00161547,0.00004538993,0.0002064241,0.7939909],"genre_scores_gemma":[0.9931175,0.00003107757,0.0003693103,0.002252339,0.0003187475,0.000004123787,0.00001530761,0.00001330422,0.003878273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8187435,"threshold_uncertainty_score":0.3852212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019072607666936,"score_gpt":0.2694341348368731,"score_spread":0.2492434087602037,"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."}}