{"id":"W4243654865","doi":"10.1093/jnci/djx242","title":"Response","year":2017,"lang":"en","type":"letter","venue":"JNCI Journal of the National Cancer Institute","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Computer science","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":[0.003289343,0.001050043,0.00162117,0.001080613,0.006724368,0.005822932,0.002671325,0.07176472,0.02056564],"category_scores_gemma":[0.02954586,0.0009577742,0.001526795,0.0006652187,0.003109626,0.003129342,0.003355036,0.04565846,0.01492318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00646707,"about_ca_system_score_gemma":0.009504266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804928,"about_ca_topic_score_gemma":0.02987396,"domain_scores_codex":[0.9960992,0.000747509,0.0003066498,0.0006186167,0.001195512,0.001032498],"domain_scores_gemma":[0.9923651,0.002295997,0.0005749015,0.000249928,0.002130494,0.002383578],"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":[0.00002012749,0.00001494175,0.0003065916,0.00001693367,0.000005654785,0.0003342027,0.00004731358,0.00002260948,0.00003705531,0.0008218627,0.9966596,0.001713205],"study_design_scores_gemma":[0.00007526243,0.00004478094,0.001145641,0.0002458984,0.00002202072,0.0005445274,0.0005938486,0.0002209027,0.0001346011,0.003504937,0.9934047,0.00006286373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002366138,0.0004394212,0.00005392438,0.9687359,0.0254416,0.00002206883,0.0001175665,0.00004815943,0.004904767],"genre_scores_gemma":[0.001064412,0.0001995912,0.00005207298,0.9779947,0.007913009,0.00003772037,0.00004280752,0.00001834958,0.01267733],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07176472,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2033490379793439,"score_gpt":0.473213058432316,"score_spread":0.269864020452972,"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."}}