{"id":"W1133950885","doi":"10.71781/1267","title":"L’adaptation des services de santé à l’égard de personnes migrantes : cas des services infirmiers en première ligne","year":2014,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002680404,0.0003080701,0.0003190186,0.0006175749,0.006723168,0.003379256,0.001542131,0.001362908,0.0103153],"category_scores_gemma":[0.007176793,0.0002596477,0.0004607785,0.001090728,0.00323583,0.001628446,0.004455838,0.002135835,0.0007157708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01768378,"about_ca_system_score_gemma":0.03513681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6156415,"about_ca_topic_score_gemma":0.7770534,"domain_scores_codex":[0.9974203,0.0007674829,0.00008884912,0.0002219908,0.0003605493,0.001140902],"domain_scores_gemma":[0.9959769,0.0006356449,0.000560126,0.0002121703,0.0009771008,0.00163808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002702695,0.0003189218,0.4073073,0.0008819412,0.0001340935,0.00606564,0.3959431,0.0007944965,0.002332975,0.0168564,0.01856546,0.1505294],"study_design_scores_gemma":[0.00003189101,0.0002177276,0.4092515,0.001323638,0.00009793285,0.001340466,0.4624156,0.0005561698,0.0004617005,0.002030427,0.1222076,0.00006536383],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382833,0.001848216,0.001108415,0.02614902,0.0002048527,0.0001594801,0.0003188476,0.00003817622,0.03188985],"genre_scores_gemma":[0.9866414,0.001297365,0.001064991,0.001868484,0.00004273528,0.00009475143,0.0001059202,0.00001683677,0.008867598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6156415,"threshold_uncertainty_score":0.7732441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08369708792001665,"score_gpt":0.4493277780604167,"score_spread":0.3656306901404001,"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."}}