{"id":"W2952213627","doi":"10.1021/acs.jproteome.8b00711","title":"Proteomics INTegrator (PINT): An Online Tool To Store, Query, and Visualize Large Proteomics Experiment Results","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Cancer Institute; European Bioinformatics Institute","keywords":"Computer science; Proteomics; Set (abstract data type); Visualization; Interface (matter); Integrator; Data mining; Biology; Bandwidth (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003018474,0.0003161528,0.0005432565,0.0004120872,0.0002599537,0.0001984303,0.0008195425,0.0002874783,0.0001665096],"category_scores_gemma":[0.0007069601,0.0002670003,0.0001277981,0.000457451,0.00009782366,0.000446244,0.0004740853,0.001976777,0.00003302736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000569668,"about_ca_system_score_gemma":0.0004614486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005240101,"about_ca_topic_score_gemma":0.00001023415,"domain_scores_codex":[0.9962983,0.0001666721,0.001119635,0.0005860556,0.001051767,0.0007775321],"domain_scores_gemma":[0.9968361,0.0001176509,0.0005022954,0.0007779116,0.001247821,0.0005182344],"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":[0.001499716,0.0007313038,0.0005741713,0.0001817151,0.00004009798,0.00001862512,0.0006169931,0.000022108,0.9920061,0.002235979,0.0003522625,0.001720964],"study_design_scores_gemma":[0.002197214,0.001951474,0.0001697265,0.0004733422,0.000009881812,0.00009903996,0.0013117,0.0008612183,0.9512407,0.003447586,0.03779951,0.0004386141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983439,0.0001259037,0.01143836,0.001129115,0.000041152,0.003056982,0.0001685032,0.0000700407,0.0005309372],"genre_scores_gemma":[0.5524638,0.0003034399,0.4431062,0.00008377429,0.0006411019,0.0009704423,0.00004332986,0.0001217663,0.002266178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4316678,"threshold_uncertainty_score":0.9999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06943836872443805,"score_gpt":0.429936657666126,"score_spread":0.360498288941688,"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."}}