{"id":"W2470406062","doi":"10.1021/jacs.6b06543","title":"Finding Our Way in the Dark Proteome","year":2016,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Basic Energy Sciences; Division of Chemistry; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; U.S. Department of Energy; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Proteome; Chemistry; Computational biology; Intrinsically disordered proteins; Human proteome project; Biomolecular structure; Function (biology); Human proteins; Structural biology; Probabilistic logic; Structural genomics; Proteomics; Nanotechnology; Protein structure; Computer science; Artificial intelligence; Gene; Evolutionary biology; Biology; Biochemistry","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":[0.006384438,0.0005839409,0.0008590794,0.0005284048,0.002527127,0.005290166,0.002099219,0.003089015,0.01187863],"category_scores_gemma":[0.008425389,0.0005855564,0.0006468419,0.0006258744,0.007072342,0.01498193,0.00945635,0.009176821,0.004154411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567266,"about_ca_system_score_gemma":0.004778469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002106751,"about_ca_topic_score_gemma":0.00209231,"domain_scores_codex":[0.9988762,0.000404784,0.00003833422,0.0003009574,0.0002620608,0.0001176445],"domain_scores_gemma":[0.9962514,0.0008000761,0.0002550697,0.001093938,0.0006225781,0.0009769377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002872433,0.0002185582,0.009178001,0.0007004837,0.0002378237,0.0003587707,0.005088096,0.004853345,0.03605504,0.6311493,0.1639688,0.1479046],"study_design_scores_gemma":[0.00007890855,0.0001122998,0.002157368,0.0002885953,0.00005304454,0.0002204477,0.002781715,0.00484026,0.008799474,0.5626363,0.4178924,0.0001392317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1201118,0.02682983,0.3072927,0.4907928,0.01002881,0.0001747693,0.00200984,0.006527949,0.0362316],"genre_scores_gemma":[0.4301797,0.02459713,0.4279931,0.08853026,0.002626068,0.000455624,0.002101045,0.00277378,0.02074334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187863,"threshold_uncertainty_score":0.039738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006761937996652752,"score_gpt":0.2533614660100196,"score_spread":0.2465995280133668,"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."}}