{"id":"W3211873721","doi":"10.3390/biom11111689","title":"Secreted Protein Acidic and Rich in Cysteine as a Molecular Physiological and Pathological Biomarker","year":2021,"lang":"en","type":"review","venue":"Biomolecules","topic":"Bone and Dental Protein Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Ministère de l'Éducation et de l'Enseignement supérieur","keywords":"Biomarker; Pathological; Secretion; Cysteine; Inflammation; Disease; Biology; Cancer research; Bioinformatics; Computational biology; Medicine; Pathology; Biochemistry; Immunology; Enzyme","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":[0.0004407027,0.0008263691,0.001326316,0.002852792,0.0002268601,0.0009961411,0.0006168454,0.0008310866,0.003063947],"category_scores_gemma":[0.0005313709,0.0002155477,0.0004047889,0.002663304,0.0004346224,0.001152292,0.0005868974,0.001389746,0.001931539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000483658,"about_ca_system_score_gemma":0.0008091002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008068128,"about_ca_topic_score_gemma":0.00137023,"domain_scores_codex":[0.9998552,0.00002566185,0.00002715099,0.00002392189,0.00005445099,0.00001363117],"domain_scores_gemma":[0.9997573,0.0001205958,0.00003579153,0.000007771424,0.00006001658,0.00001846755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009575713,0.00007163934,0.0002498362,0.02610372,0.0001300177,0.0002385861,0.00005793376,0.0002653305,0.002725611,0.004307052,0.02774957,0.938005],"study_design_scores_gemma":[0.00001193346,0.0000713292,0.0009217086,0.004841836,0.0001272569,0.001318235,0.00005973173,0.00006739191,0.0006379504,0.001752546,0.9901741,0.00001593708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006277328,0.999196,0.00005261276,0.0001069946,0.0000994821,0.000001783879,0.00001175047,0.000003144776,0.0004654758],"genre_scores_gemma":[0.0004426127,0.9988841,0.000106122,0.00008542938,0.00008554236,0.000003342683,0.00002453922,8.478533e-7,0.0003673466],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003063947,"threshold_uncertainty_score":0.01024991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06373209006676435,"score_gpt":0.3603373630165114,"score_spread":0.296605272949747,"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."}}