{"id":"W4225149676","doi":"10.1016/j.ijsu.2022.106538","title":"Comprehensive multi-omics profiling uncover potential precision strategies for resectable pancreatic cancer","year":2022,"lang":"en","type":"article","venue":"International Journal of Surgery","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Profiling (computer programming); Pancreatic cancer; Omics; Bioinformatics; Computational biology; Internal medicine; Cancer; 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":[],"consensus_categories":[],"category_scores_codex":[0.00127649,0.0008745939,0.001215109,0.001794611,0.0005502664,0.002877672,0.0004545109,0.0006473005,0.002319794],"category_scores_gemma":[0.002052481,0.0003798076,0.001189879,0.001891774,0.0003738966,0.001117273,0.001265779,0.00113514,0.0007200537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005663443,"about_ca_system_score_gemma":0.001001604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007594078,"about_ca_topic_score_gemma":0.001877523,"domain_scores_codex":[0.9992073,0.0001144411,0.00006282466,0.0003215928,0.0001791653,0.0001147836],"domain_scores_gemma":[0.9991809,0.0002775261,0.0002294588,0.0001236055,0.0001283135,0.00006029138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001986227,0.0002620786,0.2107023,0.002143036,0.002541946,0.0009444471,0.0005505531,0.005219061,0.4471211,0.005527775,0.01171973,0.3112818],"study_design_scores_gemma":[0.0002579473,0.001407754,0.6158567,0.00139487,0.00615585,0.003360863,0.002176376,0.02783043,0.1671979,0.04940464,0.124659,0.0002976809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8153307,0.08960505,0.0473522,0.008124927,0.0007420147,0.000176043,0.02750003,0.001178618,0.009990505],"genre_scores_gemma":[0.9406171,0.01558479,0.02442563,0.002689146,0.0003302262,0.0001193903,0.01383188,0.0002016298,0.002200209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002877672,"threshold_uncertainty_score":0.007760465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.11160416203443,"score_gpt":0.4054356061529777,"score_spread":0.2938314441185477,"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."}}