{"id":"W2731009140","doi":"10.1074/mcp.m116.066274","title":"Spatiotemporal Proteomic Profiling of Human Cerebral Development","year":2017,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Princess Margaret Cancer Centre; Hospital for Sick Children; University Health Network","funders":"","keywords":"Profiling (computer programming); Computational biology; Human brain; Computer science; Neuroscience; Biology","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":[0.0002002776,0.0001850203,0.0001641654,0.0003939202,0.0001351825,0.0002974771,0.000154652,0.0001265902,0.0006065741],"category_scores_gemma":[0.0001949744,0.00007294457,0.000121158,0.0003031878,0.0001218514,0.0001293127,0.0002091116,0.0002633801,0.0002545017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000240846,"about_ca_system_score_gemma":0.000268586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236295,"about_ca_topic_score_gemma":0.002826595,"domain_scores_codex":[0.9999272,0.000007629707,0.000004981915,0.00002221262,0.00002614457,0.0000118307],"domain_scores_gemma":[0.9999326,0.00001641605,0.00001176495,0.00001051203,0.00001963452,0.000008893892],"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":[0.00007120768,0.000009413583,0.0008480026,0.00004579567,0.00001207765,0.00008847086,0.00001829623,0.0001284033,0.9932914,0.00009899019,0.0001595158,0.005228485],"study_design_scores_gemma":[0.000006648993,0.00009872211,0.05410258,0.00001849618,0.00005401004,0.001154996,0.00008008374,0.001102381,0.9368241,0.0002299924,0.006318119,0.000009772492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9218011,0.01165163,0.05109236,0.0002719852,0.00006331452,0.0001498804,0.007763786,0.0003709152,0.006835036],"genre_scores_gemma":[0.949546,0.008182565,0.03016134,0.0002326398,0.00002362203,0.0001535202,0.006942976,0.00009047642,0.004666749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236295,"threshold_uncertainty_score":0.002458274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803492200764802,"score_gpt":0.2780143618879198,"score_spread":0.2599794398802718,"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."}}