{"id":"W7079551949","doi":"10.26108/vnm7-fn71","title":"Morale of Canadian censors during The Second World War","year":2016,"lang":"en","type":"article","venue":"AcadiaU-DEV","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censorship; Criticism; State (computer science); World War II; Sketch; Historiography; Section (typography)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001814547,0.00009823167,0.0001099428,0.0001539042,0.0001335524,0.00001583821,0.0008972015,0.00005603779,0.0006890449],"category_scores_gemma":[0.00007377509,0.00005877465,0.00004865924,0.0005206091,0.00009679734,0.0001964289,0.0001333484,0.0001106369,0.0001033379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003413242,"about_ca_system_score_gemma":0.00007768861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003686758,"about_ca_topic_score_gemma":0.02252186,"domain_scores_codex":[0.9990872,0.0000318812,0.0001628406,0.0002357494,0.0001111693,0.0003711421],"domain_scores_gemma":[0.9990993,0.00009472715,0.00007014987,0.0005258484,0.00005443341,0.0001555333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003466044,0.0001207437,0.2151883,0.0005260073,0.0003104169,0.0004257867,0.008614586,0.0004162154,0.2438234,0.2660761,0.2082826,0.05618114],"study_design_scores_gemma":[0.0002592581,0.00001176463,0.0681977,0.00004879811,0.000003291487,0.00002405818,0.00004404091,0.0001363388,0.1430067,0.005811123,0.782249,0.0002078878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197364,0.0002383839,0.0002320432,0.03500823,0.0003124604,0.0001615933,0.00002161721,0.00008485083,0.1442044],"genre_scores_gemma":[0.9496945,0.00001562479,0.0004282897,0.0004267467,0.00006832967,0.000006610753,4.252595e-7,0.000002402411,0.04935711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5739665,"threshold_uncertainty_score":0.9953146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249890172206775,"score_gpt":0.1940704594784815,"score_spread":0.1815715577564138,"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."}}