{"id":"W3164486360","doi":"10.1007/978-1-0716-1382-5_5","title":"Myofibroblast Adhesome Analysis by Mass Spectrometry","year":2021,"lang":"en","type":"book-chapter","venue":"Methods in molecular biology","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Extracellular matrix; Myofibroblast; Cytoskeleton; Focal adhesion; Chemistry; Matrix (chemical analysis); Mass spectrometry; Adhesion; Cell biology; Cell adhesion; Biophysics; Computational biology; Cell; Biology; Biochemistry; Pathology; Chromatography; Medicine","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":[0.0002117299,0.0006197433,0.0003829638,0.001007885,0.0002630155,0.0004700266,0.0005991488,0.0004224432,0.005130374],"category_scores_gemma":[0.0001622414,0.0002747055,0.0002336662,0.0006603285,0.0001298787,0.0003899031,0.000345908,0.0005251857,0.00708042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705497,"about_ca_system_score_gemma":0.000158633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004416308,"about_ca_topic_score_gemma":0.0008587906,"domain_scores_codex":[0.9998559,0.0000105125,0.000008277383,0.00004290559,0.00006912206,0.00001336368],"domain_scores_gemma":[0.999926,0.00002153723,0.000008584487,0.0000117862,0.00002522296,0.000006903779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001565918,0.00001204536,0.00005873434,0.00004829831,0.000005181708,0.00005964016,0.000007366884,0.00003822423,0.9820772,0.0002782099,0.0009535976,0.01644579],"study_design_scores_gemma":[0.000003746049,0.000043844,0.002422931,0.00002092896,0.00001913655,0.0009265316,0.00001614077,0.002092968,0.9648667,0.0006664338,0.028906,0.00001459862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1787357,0.03269658,0.7094994,0.001312144,0.0008792178,0.0003759943,0.01273644,0.008160133,0.05560437],"genre_scores_gemma":[0.2166585,0.03761454,0.5425814,0.001080744,0.0002459824,0.0006259833,0.01507828,0.00207733,0.1840373],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005130374,"threshold_uncertainty_score":0.01716286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009705835138593098,"score_gpt":0.3169406169386249,"score_spread":0.3072347818000318,"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."}}