{"id":"W2021321887","doi":"10.1016/j.biomaterials.2014.10.008","title":"Fibril formation pH controls intrafibrillar collagen biomineralization in vitro and in vivo","year":2014,"lang":"en","type":"article","venue":"Biomaterials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal General Hospital; McGill University","funders":"McGill University","keywords":"Fibrillogenesis; Biomineralization; Biophysics; Fibril; Biocompatibility; Chemistry; Mineralization (soil science); Chemical engineering; Materials science; Biochemistry; Organic chemistry; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004237174,0.0001797526,0.0003742207,0.0002437595,0.00001516058,0.0001095675,0.00006513944,0.0001275262,0.00004877211],"category_scores_gemma":[0.00006676648,0.0001915314,0.00001512244,0.0001743753,0.00001827245,0.0002727973,0.0000242389,0.000005553173,0.0000196916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007270605,"about_ca_system_score_gemma":0.000004166625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004979894,"about_ca_topic_score_gemma":0.00001932714,"domain_scores_codex":[0.9989529,0.00008032569,0.0004777734,0.0001466554,0.00008683951,0.0002554606],"domain_scores_gemma":[0.9997013,0.00004115573,0.0000480495,0.0001487921,0.00001370292,0.00004704515],"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":[0.00004171965,0.000004508323,0.00003546296,0.0001852144,0.000005277193,0.000002317658,0.0001481005,0.002811847,0.9961744,0.00006287765,0.0001881214,0.0003401747],"study_design_scores_gemma":[0.0008345249,0.000016744,0.001454522,0.00006518276,0.000004597382,0.00001036398,0.000006962217,0.02268938,0.9710174,0.00008550785,0.003604317,0.0002105116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969275,0.0001444172,0.001454405,0.00003740301,0.0006121596,0.0003496032,0.00004418055,0.0002536649,0.0001766506],"genre_scores_gemma":[0.9988922,0.00005142488,0.0007603613,0.00001366813,0.0001483679,0.00004261108,0.00003684726,0.00004000745,0.00001448809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02515699,"threshold_uncertainty_score":0.7810422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006420340803205576,"score_gpt":0.19444800695242,"score_spread":0.1880276661492144,"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."}}