{"id":"W2395825039","doi":"10.1021/acs.jproteome.5b00579","title":"The Human Dental Pulp Proteome and N-Terminome: Levering the Unexplored Potential of Semitryptic Peptides Enriched by TAILS to Identify Missing Proteins in the Human Proteome Project in Underexplored Tissues","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Michael Smith Health Research BC; Canada Foundation for Innovation","keywords":"Proteome; Human proteome project; Proteomics; Biology; Computational biology; Biochemistry; Chemistry; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004336784,0.0003370508,0.0003117218,0.0006558004,0.0003109563,0.0006352306,0.000205985,0.0003212923,0.0006279797],"category_scores_gemma":[0.0005838358,0.0001708733,0.0003125577,0.0004996041,0.0002134249,0.0003318169,0.0005140018,0.0004551009,0.0003773354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125457,"about_ca_system_score_gemma":0.0003219438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003538391,"about_ca_topic_score_gemma":0.0006310188,"domain_scores_codex":[0.9998351,0.00002133104,0.00001243828,0.00005927736,0.00005335607,0.00001840816],"domain_scores_gemma":[0.9997666,0.00006651939,0.00005118028,0.00003306288,0.00004210577,0.00004063318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002813388,0.00001862005,0.005571696,0.0001823301,0.00003537649,0.0003349558,0.00009158391,0.0001275426,0.9847295,0.0001470296,0.0001634314,0.00831657],"study_design_scores_gemma":[0.00004077036,0.0005153272,0.3069144,0.0001637321,0.0003504652,0.008930069,0.0005180968,0.01231647,0.6472683,0.002042037,0.02088644,0.00005388313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795412,0.004707315,0.01254787,0.0002312846,0.00002966038,0.00002821624,0.001868637,0.0000879275,0.000957873],"genre_scores_gemma":[0.9429848,0.005303965,0.04309357,0.0002697264,0.00008509801,0.00006326952,0.006902472,0.0001013791,0.001195784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006558004,"threshold_uncertainty_score":0.002293587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283904736359805,"score_gpt":0.4391713997982353,"score_spread":0.3107809261622548,"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."}}