{"id":"W4404510064","doi":"10.1080/23337486.2024.2430050","title":"Political tools or ‘supercrips’? Civilian interpretation of wounded veterans at the Canada army run","year":2024,"lang":"en","type":"article","venue":"Critical Military Studies","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Interpretation (philosophy); Politics; Political science; Computer security; Aeronautics; Psychology; Operations research; History; Engineering; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002449082,0.0007025158,0.0004011899,0.001639531,0.02406801,0.01196755,0.001567392,0.00244083,0.004640088],"category_scores_gemma":[0.005779366,0.0003893289,0.000283974,0.001809454,0.03823163,0.00425722,0.005029693,0.004546457,0.000375875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02911106,"about_ca_system_score_gemma":0.02174841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7022725,"about_ca_topic_score_gemma":0.7667904,"domain_scores_codex":[0.9966024,0.001728183,0.0000559392,0.0002117818,0.000552766,0.0008488433],"domain_scores_gemma":[0.9976127,0.001093669,0.0002730976,0.00009807981,0.0003938309,0.0005286124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001144436,0.00000561133,0.001180505,0.00002318378,0.000002769813,0.0004312285,0.9797753,0.0000264711,0.0002631852,0.01501133,0.001562677,0.00170632],"study_design_scores_gemma":[0.000001208184,0.000004218199,0.001227076,0.00005085051,0.000002700085,0.00009007336,0.9808717,0.00003584488,0.00008272616,0.0006163625,0.01700843,0.000008776361],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8358129,0.002095862,0.001700831,0.02898225,0.0004014507,0.00005484709,0.0001253264,0.00004208433,0.1307845],"genre_scores_gemma":[0.9937798,0.0004903338,0.0001536465,0.001031957,0.00002728035,0.00001193443,0.00001973371,0.00002442805,0.004460789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2977275,"threshold_uncertainty_score":0.5989618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07762204318350256,"score_gpt":0.372428282279214,"score_spread":0.2948062390957114,"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."}}