{"id":"W4361232873","doi":"10.5281/zenodo.7784890","title":"ATR phosphoproteomics","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Phosphoproteomics; Computational biology; Biology; Cell biology; Phosphorylation","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":[0.004064086,0.004765038,0.003789749,0.003284951,0.001916637,0.005015462,0.003250459,0.001334634,0.1216019],"category_scores_gemma":[0.006485651,0.001552912,0.002867771,0.002668572,0.0006872277,0.002076647,0.002829411,0.00382831,0.1330887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010965,"about_ca_system_score_gemma":0.002714455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003254401,"about_ca_topic_score_gemma":0.005500187,"domain_scores_codex":[0.9980476,0.0003682284,0.0002222011,0.0008874761,0.0002817594,0.0001927075],"domain_scores_gemma":[0.9983707,0.0005224053,0.000171441,0.000494768,0.0003313477,0.0001094455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001759832,0.0001551181,0.003882703,0.005280945,0.001025188,0.0003277088,0.0003033738,0.001698915,0.01955817,0.003221683,0.9343508,0.02843556],"study_design_scores_gemma":[0.001292033,0.0001777475,0.01032215,0.0007306415,0.0007326936,0.001067556,0.0002356135,0.01364989,0.03280979,0.01841797,0.9202181,0.0003456708],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003301197,0.000819678,0.03862259,0.0002434038,0.0002715469,0.0005380888,0.8300155,0.1216682,0.004519811],"genre_scores_gemma":[0.009347004,0.0005755625,0.1005423,0.0007288251,0.00008559698,0.00322634,0.8346931,0.0437178,0.007083488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1216019,"threshold_uncertainty_score":0.4067989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739321877247486,"score_gpt":0.2447122606223441,"score_spread":0.2173190418498692,"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."}}