{"id":"W4250842320","doi":"10.3410/f.725813339.793517060","title":"Faculty Opinions recommendation of Proteome-wide profiling of protein assemblies by cross-linking mass spectrometry.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mass spectrometry; Profiling (computer programming); Proteome; Chromatography; Chemistry; Computational biology; Computer science; Biology; Biochemistry","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":[0.001768972,0.003986079,0.002287834,0.004851622,0.0008780788,0.002964431,0.003856995,0.003563078,0.04572616],"category_scores_gemma":[0.006501241,0.0008768268,0.001988314,0.006447886,0.0004733882,0.00211668,0.002606189,0.002296323,0.07606991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875812,"about_ca_system_score_gemma":0.003461162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976925,"about_ca_topic_score_gemma":0.05016521,"domain_scores_codex":[0.9983605,0.0001981068,0.0001723308,0.0005275501,0.0005304428,0.0002111293],"domain_scores_gemma":[0.9972662,0.00049483,0.0003742446,0.0006658259,0.0006643727,0.0005346226],"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":[0.0001719643,0.00004836337,0.001198316,0.001198711,0.00008000111,0.00003658878,0.00001422427,0.0002985129,0.0004886519,0.000288633,0.9927194,0.003456683],"study_design_scores_gemma":[0.0004419879,0.00004731266,0.007155447,0.0004189693,0.00009928235,0.0001137764,0.00004933344,0.001273702,0.001526875,0.00135467,0.9874697,0.00004904654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000205704,0.0001670245,0.0001065526,0.00009576348,0.00003986214,0.00001563329,0.9978619,0.0008001567,0.0007074061],"genre_scores_gemma":[0.0003160959,0.00008560433,0.0002882214,0.00005174306,0.000006719292,0.00002587208,0.9986863,0.00005260618,0.0004868609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04572616,"threshold_uncertainty_score":0.1529692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230514119884916,"score_gpt":0.3546291282387976,"score_spread":0.3323239870399485,"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."}}