{"id":"W7036048971","doi":"","title":"Adherence to latent tuberculosis treatment among 
\\nimmigrants in low endemic settings : a scoping review","year":2016,"lang":"fr","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent tuberculosis; CINAHL; MEDLINE; Tuberculosis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003521778,0.0006425824,0.0007717017,0.0004713264,0.001861184,0.000118813,0.0009275987,0.0003847769,0.0008482155],"category_scores_gemma":[0.00006504529,0.0006097461,0.0003771114,0.0006024343,0.0002348719,0.0008956537,0.0005206537,0.0003132518,0.001515034],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008559494,"about_ca_system_score_gemma":0.002055391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0458575,"about_ca_topic_score_gemma":0.05020206,"domain_scores_codex":[0.9965476,0.0002520845,0.0008044362,0.000906988,0.0007188485,0.0007700829],"domain_scores_gemma":[0.9978131,0.0001101753,0.0005478492,0.0007628992,0.0002152455,0.0005507412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006694059,0.002163231,0.1581477,0.02259907,0.001653275,0.01190205,0.2272115,0.0029935,0.00157002,0.08292929,0.01915345,0.4690075],"study_design_scores_gemma":[0.007271043,0.001219404,0.1152629,0.5389073,0.0007422006,0.002404038,0.002672439,0.01044763,0.003762714,0.000296254,0.3120488,0.004965272],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1754046,0.2378724,0.008086281,0.009246727,0.004446378,0.008903831,0.0002397132,0.0006705208,0.5551295],"genre_scores_gemma":[0.2687759,0.05894795,0.002429671,0.004646879,0.0004534815,0.0005009968,0.00008530527,0.0001520853,0.6640077],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5163082,"threshold_uncertainty_score":0.9996354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009520637145421201,"score_gpt":0.2038119791021587,"score_spread":0.1942913419567375,"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."}}