{"id":"W2599265691","doi":"10.1016/j.emospa.2017.03.005","title":"On trauma, geography, and mobility: Towards geographies of trauma","year":2017,"lang":"en","type":"article","venue":"Emotion, space and society","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economic geography; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000745961,0.0001148358,0.0001785598,0.00004600153,0.001644485,0.0001844189,0.0001239885,0.0001561056,0.000063279],"category_scores_gemma":[0.0001257647,0.00009949906,0.0001721819,0.0001004197,0.001024836,0.0004047494,0.000018564,0.0001048452,0.000001086294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001543978,"about_ca_system_score_gemma":0.00003634427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006154984,"about_ca_topic_score_gemma":0.004923236,"domain_scores_codex":[0.99906,0.00008082284,0.0001623193,0.0002389185,0.0002808732,0.0001771027],"domain_scores_gemma":[0.9993215,0.00004546458,0.0001485172,0.0002370653,0.0001571911,0.00009030667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003929915,0.0004579364,0.2778855,0.0001552593,0.0001835734,5.087458e-7,0.274151,0.000004529939,0.0002364821,0.3373428,0.01777756,0.09176555],"study_design_scores_gemma":[0.0003853063,0.0001689268,0.9479259,0.00004572322,0.00003192523,4.195353e-7,0.02113194,0.00007725121,0.0003783509,0.01822532,0.01146986,0.0001591058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866866,0.0003588298,0.0002389266,0.001885344,0.0001577365,0.0002048008,0.00001408636,0.00003380216,0.01041987],"genre_scores_gemma":[0.9950265,0.003586699,0.0003216578,0.00008877075,0.0001361177,0.000007216405,0.000007112736,0.00000587247,0.0008200675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6700404,"threshold_uncertainty_score":0.9996552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684866976291923,"score_gpt":0.2909404867090454,"score_spread":0.2740918169461262,"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."}}