{"id":"W4292950862","doi":"10.1051/medsci/201228s104","title":"The emergence and development of gene expression profiling: a key component of the 3B (bench, bedside, bytes) in translational research","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bench to bedside; Translational research; Computational biology; Gene expression profiling; Biology; Profiling (computer programming); Gene expression; Byte; Component (thermodynamics); Gene; Computer science; Medicine; Genetics; Biotechnology; Operating system; Medical physics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04511906,0.0007354968,0.001662909,0.002715011,0.001416311,0.008503218,0.002645241,0.004391273,0.007385735],"category_scores_gemma":[0.02963775,0.001266774,0.001066569,0.002386461,0.01025304,0.009086407,0.00921249,0.01192422,0.004113821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002949906,"about_ca_system_score_gemma":0.005839853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009871343,"about_ca_topic_score_gemma":0.001403698,"domain_scores_codex":[0.9857963,0.00715674,0.0008921963,0.001581987,0.003773136,0.0007996448],"domain_scores_gemma":[0.9259085,0.03714424,0.003890062,0.01271174,0.0115054,0.008840187],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007814179,0.0003303725,0.008945807,0.001186943,0.00008247552,0.0001696413,0.001330655,0.001033996,0.0369952,0.2914659,0.04384954,0.6138281],"study_design_scores_gemma":[0.000172165,0.001510842,0.0263768,0.001824657,0.0001347653,0.001350087,0.00111912,0.01187485,0.04386545,0.4293763,0.4820895,0.0003055209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02964859,0.01960784,0.7161991,0.1943329,0.00493369,0.0005366618,0.001092505,0.004939056,0.02870975],"genre_scores_gemma":[0.1459224,0.01395736,0.766562,0.04904529,0.007303898,0.001528,0.0008175068,0.002190576,0.01267302],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.954881,"threshold_uncertainty_score":0.2386153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411667314768003,"score_gpt":0.2993529204913863,"score_spread":0.258186189014586,"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."}}