{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006358146,0.003972441,0.002241178,0.006551643,0.000958336,0.004602225,0.004487194,0.001362616,0.03137505],"category_scores_gemma":[0.009678064,0.002111455,0.001712611,0.004651481,0.0007587586,0.006342713,0.005450363,0.002592821,0.01910633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592524,"about_ca_system_score_gemma":0.00280672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002073237,"about_ca_topic_score_gemma":0.002095965,"domain_scores_codex":[0.9976452,0.0002714323,0.0003301839,0.0006084914,0.0009655427,0.00017908],"domain_scores_gemma":[0.9945162,0.001887226,0.0008786338,0.001074158,0.00113812,0.0005056463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004607138,0.0005244114,0.009594027,0.005603885,0.001443458,0.002269695,0.001021612,0.003591408,0.1136997,0.01068055,0.5878521,0.2591121],"study_design_scores_gemma":[0.001780097,0.0006955736,0.02137956,0.0008903643,0.000816737,0.004898046,0.0004439692,0.1624265,0.2944384,0.02989581,0.4811087,0.001226174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.004032595,0.0007800086,0.2966212,0.0003151808,0.000214072,0.0005069063,0.03528444,0.6583336,0.003911969],"genre_scores_gemma":[0.07553589,0.002261939,0.6371068,0.002047102,0.0004038953,0.003769295,0.1673912,0.09716507,0.01431879],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03137505,"threshold_uncertainty_score":0.10496,"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."}}