{"id":"W7066022302","doi":"","title":"Figures, tensions et intensitÃ©s organisationnelles Ã  MÃ©decins sans frontiÃ¨res : une approche ethnographique","year":2013,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subjectivity; Context (archaeology); Ethnography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007586314,0.0007428621,0.0005072356,0.003849603,0.007963675,0.01163642,0.001353633,0.002175062,0.008842021],"category_scores_gemma":[0.007185054,0.000601452,0.0006460949,0.004113507,0.02584836,0.01840154,0.005921036,0.003083834,0.0007847388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008314976,"about_ca_system_score_gemma":0.00445273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01950461,"about_ca_topic_score_gemma":0.02026604,"domain_scores_codex":[0.9887756,0.009066214,0.0002864906,0.0008429716,0.0006131287,0.0004154964],"domain_scores_gemma":[0.9907426,0.006868224,0.0006024152,0.0006917757,0.0008481287,0.0002468062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002621948,0.00002065602,0.001480343,0.0002074155,0.00001054545,0.000257975,0.7546666,0.0001284284,0.0008271831,0.230302,0.001999178,0.01007341],"study_design_scores_gemma":[0.00001499157,0.00003664423,0.00240808,0.0005703236,0.00002302811,0.0003070422,0.7298859,0.0005869035,0.0009694849,0.0617227,0.2034291,0.00004578852],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4308675,0.01058413,0.1323207,0.03998141,0.001317876,0.001026867,0.001061808,0.0002470773,0.3825926],"genre_scores_gemma":[0.935111,0.004976846,0.01971564,0.001911593,0.0001709486,0.000917781,0.000269695,0.0001166051,0.03680981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01950461,"threshold_uncertainty_score":0.06032968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006259673192516298,"score_gpt":0.1610064597769611,"score_spread":0.1547467865844448,"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."}}