{"id":"W2092179882","doi":"10.1034/j.1600-0765.2001.036004205.x","title":"Immunodetection of noncollagenous matrix proteins during periodontal tissue regeneration","year":2001,"lang":"en","type":"article","venue":"Journal of Periodontal Research","topic":"Periodontal Regeneration and Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Bone sialoprotein; Osteopontin; Cementum; Chemistry; Dentin; Immunolabeling; Dental alveolus; Immunogold labelling; Fibronectin; Osteocalcin; Extracellular matrix; Cementoblast; Periodontal fiber; Mineralized tissues; Pathology; Matrix (chemical analysis); Anatomy; Ultrastructure; Biology; Dentistry; Immunohistochemistry; Alkaline phosphatase; Medicine; Biochemistry; Immunology","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":[0.0003018947,0.0003882078,0.0003104163,0.0003993294,0.0002297105,0.0003495532,0.0002268287,0.00035925,0.0007266094],"category_scores_gemma":[0.0001876358,0.0003108268,0.0002398007,0.0002060923,0.0003430612,0.0004231589,0.0002326757,0.0004955633,0.0002858791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815703,"about_ca_system_score_gemma":0.0002908333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007071529,"about_ca_topic_score_gemma":0.001653567,"domain_scores_codex":[0.999811,0.00001948675,0.00001327695,0.00004238062,0.00006179696,0.00005224013],"domain_scores_gemma":[0.9998279,0.00003246881,0.0000447363,0.00001583778,0.00003874134,0.00004041939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004573579,0.000008026126,0.0001048638,0.00003678789,0.000001520867,0.00005919864,0.00001428859,0.000007514801,0.9991798,0.00004216147,0.000004668784,0.0004952939],"study_design_scores_gemma":[0.00002538644,0.0003618783,0.01690717,0.00002085549,0.00003430337,0.0007462145,0.0001482353,0.0004638376,0.9785113,0.0001085719,0.002666076,0.000006140373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874983,0.005643343,0.005221631,0.00007854333,0.00003122861,0.00003590054,0.0001657898,0.00007748509,0.001247725],"genre_scores_gemma":[0.9760147,0.004901273,0.0140335,0.00008940317,0.00003093916,0.0001230217,0.0006914201,0.00003715841,0.004078602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007266094,"threshold_uncertainty_score":0.002430737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0532047767060709,"score_gpt":0.4086203626865629,"score_spread":0.3554155859804921,"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."}}