{"id":"W2900820602","doi":"10.3389/fphys.2018.01638","title":"ABPS: An R Package for Calculating the Abnormal Blood Profile Score","year":2018,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"R package; Internal medicine; Computer science; Medicine; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004885811,0.003292297,0.002771113,0.002898181,0.0005735471,0.002981498,0.002723857,0.001250167,0.06486042],"category_scores_gemma":[0.04101228,0.001724448,0.002886154,0.002409272,0.000743186,0.001901776,0.002618406,0.002970665,0.05332886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007264959,"about_ca_system_score_gemma":0.003291869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004930545,"about_ca_topic_score_gemma":0.004808226,"domain_scores_codex":[0.9965396,0.001370342,0.0003517505,0.0008024888,0.0007608531,0.0001750081],"domain_scores_gemma":[0.9863191,0.009699243,0.001112325,0.001241656,0.00131521,0.0003125032],"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":[0.0008139729,0.0000697163,0.01751567,0.003578156,0.002657001,0.0004959221,0.0002262253,0.00935623,0.002117899,0.006867579,0.866671,0.08963066],"study_design_scores_gemma":[0.001069611,0.0003261146,0.02304918,0.001182544,0.00193585,0.001661435,0.0001567995,0.06127611,0.00666962,0.06343888,0.8387716,0.0004623572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.008822602,0.00377036,0.3139837,0.002039916,0.001224787,0.000772204,0.3891843,0.2706723,0.009529887],"genre_scores_gemma":[0.06857271,0.003394716,0.4143436,0.003334103,0.0008717683,0.006257648,0.2778267,0.2084409,0.01695792],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06486042,"threshold_uncertainty_score":0.2169797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279694610789156,"score_gpt":0.2864486907760758,"score_spread":0.2636517446681843,"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."}}