{"id":"W2290226414","doi":"10.1080/0964704x.2015.1121697","title":"Learning soft skills the hard way: Historiographical considerations on the cultural adjustment process of German-speaking émigré neuroscientists in Canada, 1933 to 1963","year":2016,"lang":"en","type":"letter","venue":"Journal of the History of the Neurosciences","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"German; Historiography; Refugee; Nazism; Forced migration; Population; Acculturation; World War II; Immigration; Sociology; Psychology; Psychiatry; Law; History; Political science; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001272014,0.0002484833,0.0004363721,0.0002507812,0.00115203,0.0000589793,0.002262661,0.00008232374,0.000302953],"category_scores_gemma":[0.00162282,0.00008733337,0.0003931024,0.0001967758,0.003518307,0.0001509201,0.0001916371,0.002347624,0.000002151258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064463,"about_ca_system_score_gemma":0.002299827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01135525,"about_ca_topic_score_gemma":0.05777236,"domain_scores_codex":[0.9949124,0.001142607,0.0008021453,0.0002950141,0.002435481,0.0004122872],"domain_scores_gemma":[0.9966261,0.001167919,0.001317841,0.0004729752,0.0003235858,0.00009156251],"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":[0.00001866546,0.00004706081,0.00006985161,0.00005580951,0.00001198884,0.00003242898,0.0134151,0.0001712618,0.0007194811,0.0002329834,0.9850422,0.0001831565],"study_design_scores_gemma":[0.0001202363,0.0001753407,0.00106109,0.0004603617,0.00003815082,0.00004674221,0.0003995958,0.00002472587,0.00005127296,0.0001366718,0.9973642,0.0001215703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1421262,0.00121319,0.000001831257,0.7359491,0.1174163,0.0007832672,0.00005287989,0.000008881294,0.002448316],"genre_scores_gemma":[0.6143112,0.000104814,0.000004426287,0.2374276,0.003427179,0.00002551063,4.183198e-7,0.0000374776,0.1446614],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4985216,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707675097453986,"score_gpt":0.2574842835418525,"score_spread":0.2104075325673127,"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."}}