{"id":"W2944090377","doi":"10.1158/1538-7445.sabcs18-p6-17-29","title":"Abstract P6-17-29: Withdrawn","year":2019,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University of Calgary; University of Alberta","funders":"","keywords":"Medicine; Cancer; Breast cancer; Citation; Gerontology; Gynecology; Library science; Internal medicine; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003478626,0.001536818,0.001928249,0.001516023,0.002388071,0.005594621,0.003284001,0.008329226,0.2562321],"category_scores_gemma":[0.03069369,0.0006152728,0.00167907,0.001571486,0.0009052197,0.002175467,0.001659656,0.005526009,0.2009173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005189541,"about_ca_system_score_gemma":0.00778364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005594,"about_ca_topic_score_gemma":0.01110117,"domain_scores_codex":[0.9958829,0.0004956572,0.0005314316,0.0002405342,0.002359132,0.0004903793],"domain_scores_gemma":[0.9846736,0.001696708,0.0004361521,0.0006375058,0.01103097,0.001524987],"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":[0.0002499895,0.00002376963,0.0000688003,0.0001861834,0.00001150741,0.0005245362,0.000009371623,0.00002584392,0.0002124235,0.0004886861,0.989297,0.008902021],"study_design_scores_gemma":[0.0002310739,0.00006653557,0.0006854457,0.0002044614,0.00002158768,0.0005113842,0.00002563629,0.00006810154,0.0004044605,0.0005913107,0.997171,0.00001902851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001067687,0.01072676,0.001506225,0.1503117,0.6703138,0.001080817,0.03365109,0.001431676,0.1299102],"genre_scores_gemma":[0.01549043,0.01091476,0.001445087,0.08946268,0.1027302,0.0006855741,0.02889486,0.0007578123,0.7496186],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7437679,"threshold_uncertainty_score":0.8571818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07313228600122833,"score_gpt":0.443659084831778,"score_spread":0.3705267988305496,"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."}}