{"id":"W1995492023","doi":"10.1186/s12916-014-0129-y","title":"Advances in treating HER2-positive breast cancer: an interview with Sunil Verma","year":2014,"lang":"en","type":"article","venue":"BMC Medicine","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Medicine; Breast cancer; Cancer; Oncology; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001107347,0.000242404,0.0006437292,0.0002175008,0.00005829605,0.00001037398,0.0002019961,0.00007447434,0.0009228969],"category_scores_gemma":[0.000208936,0.0001578398,0.00003604096,0.0005556097,0.0003264291,0.0002011577,0.0000457056,0.0003959357,0.00002096962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179977,"about_ca_system_score_gemma":0.0003061251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002569159,"about_ca_topic_score_gemma":0.008668563,"domain_scores_codex":[0.9976391,0.0003427492,0.0003909392,0.0004865764,0.0006610322,0.0004795923],"domain_scores_gemma":[0.9985493,0.0002784601,0.0001058874,0.0004921196,0.0002105029,0.0003637378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009333139,0.000199978,0.3848943,0.001212395,0.00002781982,0.0001123361,0.001766742,0.0000462601,0.00060114,0.0002359895,0.0006541788,0.6093155],"study_design_scores_gemma":[0.01641014,0.008198687,0.8764437,0.02903721,0.0002517821,0.0009644487,0.003999456,0.005086895,0.001254464,0.0001380254,0.05755599,0.0006591344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8465782,0.02166594,0.005377264,0.0282668,0.000681436,0.002624923,0.0000635017,0.0003355348,0.09440637],"genre_scores_gemma":[0.9927946,0.002596491,0.0009435967,0.001612204,0.001129762,0.0001586321,0.00004973202,0.00006055669,0.0006544674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6086564,"threshold_uncertainty_score":0.9999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296304446602,"score_gpt":0.3989824948414714,"score_spread":0.3560194503754514,"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."}}