{"id":"W2912368193","doi":"10.1093/bioinformatics/btz531","title":"Simultaneous prediction of multiple outcomes using revised stacking algorithms","year":2019,"lang":"en","type":"article","venue":"Bioinformatics","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Saskatchewan","funders":"Canada Research Chairs","keywords":"Stacking; Computer science; Algorithm; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009357234,0.00370198,0.003507159,0.003067045,0.0009831286,0.002411059,0.003320804,0.002127111,0.004251421],"category_scores_gemma":[0.01863537,0.0009553118,0.003008652,0.002580773,0.0009767207,0.002029778,0.002596008,0.004106796,0.001793594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111332,"about_ca_system_score_gemma":0.002941296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00826777,"about_ca_topic_score_gemma":0.007082951,"domain_scores_codex":[0.9968088,0.00136849,0.0002432589,0.0007428115,0.000548381,0.0002881524],"domain_scores_gemma":[0.9877377,0.007395749,0.001258246,0.001075339,0.00191423,0.0006187807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005621702,0.000315302,0.0183226,0.0001342827,0.0006876957,0.0002094581,0.0001008628,0.6958172,0.0008877989,0.002969513,0.004201828,0.2757914],"study_design_scores_gemma":[0.00001504865,0.00006157836,0.00065023,0.00001123687,0.0000460551,0.00002551052,0.000008521685,0.9946083,0.0003925773,0.003935575,0.0002314868,0.00001388389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06202733,0.001159077,0.9308077,0.001072715,0.0002201584,0.0002557587,0.000909159,0.002390721,0.001157337],"genre_scores_gemma":[0.5929514,0.0007794889,0.3970953,0.000467502,0.0005844441,0.0005813704,0.003584662,0.000298194,0.003657568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009357234,"threshold_uncertainty_score":0.04948634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574649529840671,"score_gpt":0.2706057821646921,"score_spread":0.2448592868662854,"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."}}