{"id":"W4394964050","doi":"10.1139/bcb-2024-0075","title":"The journey from bench to bedside—it takes a science village","year":2024,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Pace; Enthusiasm; Bench to bedside; Translational science; Engineering ethics; Translational research; Translational medicine; Data science; Medicine; Psychology; Computer science; Sociology; Biology; Biotechnology; Social science; Engineering; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02171659,0.001613036,0.002137293,0.002047383,0.01240143,0.02976238,0.003608813,0.01150417,0.03861558],"category_scores_gemma":[0.04588138,0.001312511,0.001890353,0.001619447,0.02002798,0.03498003,0.01860759,0.04604802,0.03341292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00429767,"about_ca_system_score_gemma":0.01973705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896063,"about_ca_topic_score_gemma":0.003069239,"domain_scores_codex":[0.9837219,0.00695918,0.0006946836,0.001950147,0.005077623,0.001596382],"domain_scores_gemma":[0.9453141,0.01225052,0.002116082,0.005413928,0.01178717,0.02311818],"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":[0.0001492259,0.0002406523,0.001117654,0.0007843568,0.00009365207,0.0006075901,0.007011872,0.000243006,0.001541141,0.04774648,0.8365054,0.103959],"study_design_scores_gemma":[0.00002713138,0.0002027025,0.0004632182,0.001099152,0.00002270644,0.0007487426,0.00872466,0.0001316958,0.0004155874,0.05099327,0.9370881,0.00008300904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002119869,0.03943679,0.01112885,0.8709384,0.04549752,0.00008560139,0.0002724363,0.0008764913,0.02964403],"genre_scores_gemma":[0.08438898,0.09240989,0.04909774,0.5819588,0.05363768,0.000566421,0.0008894331,0.003257976,0.1337931],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03861558,"threshold_uncertainty_score":0.129182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342233339632644,"score_gpt":0.2833985557039869,"score_spread":0.2699762223076605,"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."}}