{"id":"W4231703875","doi":"10.3747/co.v18i6.1000","title":"E-MANUSCRIPT ARTICLE SUMMARIES","year":2011,"lang":"en","type":"article","venue":"Current Oncology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Data science; Cancer; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001708676,0.0003480545,0.0004103,0.001460229,0.002665004,0.002200102,0.0008486017,0.000890889,0.6500958],"category_scores_gemma":[0.02100026,0.0001371799,0.0002845839,0.002026648,0.0004919994,0.00111387,0.001265885,0.0008196805,0.1635009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002814543,"about_ca_system_score_gemma":0.00780867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04118172,"about_ca_topic_score_gemma":0.07899787,"domain_scores_codex":[0.9988182,0.0003015464,0.00007238772,0.0000655412,0.0005971474,0.0001451765],"domain_scores_gemma":[0.9777142,0.005206035,0.0004048074,0.0006004193,0.01393965,0.002134876],"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":[0.000009752799,0.00001603166,0.0001393936,0.0001332488,7.305648e-7,0.00003127546,0.0003739252,0.000006444793,0.00004747755,0.0002404393,0.9846618,0.01433933],"study_design_scores_gemma":[0.00001205057,0.00001547318,0.001606204,0.0002034509,0.000002292859,0.00003877818,0.001840776,0.00002395009,0.00009122313,0.0002341965,0.995923,0.000008603664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008189652,0.002245057,0.001710691,0.05946824,0.04062476,0.002713001,0.04892122,0.001530484,0.8345969],"genre_scores_gemma":[0.02095382,0.002912438,0.001566596,0.01029489,0.003479813,0.0009498524,0.008624693,0.0005677429,0.9506501],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3499042,"threshold_uncertainty_score":0.4990959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3294474368018123,"score_gpt":0.4436881146816418,"score_spread":0.1142406778798294,"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."}}