{"id":"W4407137814","doi":"10.1101/2025.02.01.636015","title":"Novel Pipelines to Extract Differences in Proteome Dynamics Based on Health Status","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Proteome; Computational biology; Pipeline transport; Dynamics (music); Pipeline (software); Computer science; Data science; Biology; Environmental science; Bioinformatics; Psychology; Environmental engineering","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":[0.001895226,0.001175133,0.0007632566,0.002495904,0.000669989,0.001187496,0.00118488,0.0007822042,0.001847524],"category_scores_gemma":[0.004214023,0.0004261331,0.001186443,0.001416311,0.0004170863,0.001069941,0.001296088,0.001039302,0.001203713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005896563,"about_ca_system_score_gemma":0.001271295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004547381,"about_ca_topic_score_gemma":0.00509042,"domain_scores_codex":[0.9993227,0.0001008843,0.00005302838,0.0002969839,0.0001324981,0.0000940125],"domain_scores_gemma":[0.9984018,0.0006901168,0.0002340461,0.0001984251,0.0003800582,0.00009558649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001209832,0.001102996,0.07569708,0.0004357048,0.0006665622,0.000563416,0.0005191058,0.06309639,0.1226164,0.003887309,0.009914104,0.7202911],"study_design_scores_gemma":[0.00003430427,0.0001482772,0.02362371,0.00001678884,0.00006006897,0.0001514168,0.0001045137,0.9455055,0.02224535,0.006042791,0.002020333,0.00004684485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.163681,0.0004058894,0.8152874,0.0005902914,0.00008302818,0.0002980033,0.002833324,0.01570128,0.001119839],"genre_scores_gemma":[0.51529,0.0002241772,0.4739458,0.0002509437,0.0000814806,0.000538849,0.007243422,0.0004877967,0.001937515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004547381,"threshold_uncertainty_score":0.010023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299829715024319,"score_gpt":0.2378732653933674,"score_spread":0.2248749682431242,"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."}}