{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000214099,0.0005256442,0.002114211,0.000197659,0.00005733042,0.00004040485,0.0000813681,0.0005604851,0.00002689603],"category_scores_gemma":[0.0003267558,0.0003453427,0.000240132,0.0005107137,0.0006468241,0.00002670594,0.0004719121,0.0003751343,0.0000237329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004260717,"about_ca_system_score_gemma":0.00009369892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004619368,"about_ca_topic_score_gemma":0.000003944889,"domain_scores_codex":[0.9976661,0.0003588648,0.0005384698,0.0008349997,0.0002442882,0.0003572936],"domain_scores_gemma":[0.9992736,0.00005087045,0.0001509511,0.0003078705,0.00005166061,0.0001650371],"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":[0.0001409896,0.0005118064,0.00006578914,0.02237463,0.0006615866,0.02605007,0.00007421743,6.422924e-9,0.04716535,0.001510194,0.0002308247,0.9012145],"study_design_scores_gemma":[0.008772128,0.006942694,0.002948652,0.12383,0.004500635,0.01821911,0.001029359,0.00002509356,0.004212467,0.001473866,0.8235844,0.004461577],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04529048,0.9524023,0.00002035576,0.0001703416,0.00002362465,0.001652595,0.00002118061,0.00005470533,0.0003644119],"genre_scores_gemma":[0.01944236,0.9790271,0.0005765149,0.0001813663,0.00003784437,0.0004079934,0.000143687,0.00004091169,0.0001422492],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.896753,"threshold_uncertainty_score":0.9998999,"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."}}