{"id":"W4281851534","doi":"10.1158/2159-8290.cd-22-0330","title":"REFLECTions on Combination Therapies Empowered by Data Sharing","year":2022,"lang":"en","type":"letter","venue":"Cancer Discovery","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Vector Institute; Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Canada Research Chairs","keywords":"Compendium; Data sharing; Clinical trial; Precision oncology; Computational biology; Transcriptome; Drug approval; Drug discovery; Precision medicine; Medicine; MEDLINE; Bioinformatics; Computer science; Data science; Pharmacology; Drug; Biology; Alternative medicine; Genetics; Pathology; Gene","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04611385,0.001015826,0.001647596,0.0009420023,0.003567672,0.008387371,0.005800673,0.0468794,0.01171737],"category_scores_gemma":[0.1199012,0.001015458,0.002637795,0.0009912589,0.01028476,0.01587118,0.006319812,0.07718901,0.009842618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005894382,"about_ca_system_score_gemma":0.007298797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003175223,"about_ca_topic_score_gemma":0.003969661,"domain_scores_codex":[0.9727018,0.01312959,0.002351333,0.002830749,0.007220658,0.001765811],"domain_scores_gemma":[0.8310975,0.1337535,0.003517335,0.006268817,0.0164005,0.008962321],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006280443,0.00002679507,0.0001730813,0.0001004038,0.00002998666,0.0004610407,0.0001240025,0.0001857915,0.0001290549,0.009785218,0.9679075,0.02101414],"study_design_scores_gemma":[0.0001208577,0.00007620477,0.0002995458,0.000485581,0.0000326483,0.000963349,0.0003015297,0.0008603342,0.0002474813,0.03980409,0.9567159,0.00009243882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009771534,0.001296734,0.0005727811,0.9877324,0.009334709,0.000009349605,0.00006230833,0.00005130786,0.0008426771],"genre_scores_gemma":[0.00237111,0.001691153,0.00137053,0.9690606,0.0241049,0.00006744955,0.00005432805,0.00004099466,0.001238912],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9538862,"threshold_uncertainty_score":0.2438763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05162716659467738,"score_gpt":0.3414896131805871,"score_spread":0.2898624465859097,"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."}}