{"id":"W2590007722","doi":"10.1200/jop.2016.018135","title":"Reply to K.K. Sahu et al","year":2017,"lang":"fr","type":"letter","venue":"Journal of Oncology Practice","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003431807,0.0008258031,0.001429477,0.0009387714,0.004425079,0.003906087,0.002220146,0.05707657,0.01045152],"category_scores_gemma":[0.02882941,0.0008449439,0.001268597,0.0008525126,0.003691273,0.004911974,0.002242848,0.0437074,0.01251176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003943282,"about_ca_system_score_gemma":0.006073011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007444404,"about_ca_topic_score_gemma":0.009787679,"domain_scores_codex":[0.9969947,0.0008118958,0.0003587293,0.0003806223,0.000898817,0.0005551701],"domain_scores_gemma":[0.9922777,0.003315138,0.0006790137,0.0001969991,0.001977499,0.001553608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002405932,0.00001088975,0.0002687496,0.00002350975,0.00000472491,0.0005325479,0.000104951,0.00001555965,0.00003793913,0.0006189884,0.9964795,0.001878648],"study_design_scores_gemma":[0.00009156938,0.00006070234,0.00109825,0.0003144015,0.00002955629,0.002682025,0.001399449,0.000294581,0.0002813766,0.005886363,0.9877737,0.00008798888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000169582,0.0005285094,0.00002590431,0.988586,0.009485782,0.000006988505,0.00004914246,0.00002115321,0.00112698],"genre_scores_gemma":[0.00160293,0.0004163557,0.00005934161,0.9822363,0.01178378,0.00002332312,0.0000237824,0.00001656,0.003837698],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05707657,"threshold_uncertainty_score":0.03496385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157514261628435,"score_gpt":0.5502011051769915,"score_spread":0.434449679014148,"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."}}