{"id":"W4312056048","doi":"10.1016/j.actbio.2022.11.051","title":"Osteocyte lacunae in transiliac bone biopsy samples across life span","year":2022,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Children's Hospital","funders":"National Health Insurance Administration; Allgemeine Unfallversicherungsanstalt","keywords":"Osteocyte; Bone biopsy; Materials science; Span (engineering); Life span; Biopsy; Dentistry; Biomedical engineering; Structural engineering; Medicine; Pathology; Engineering; Biology; Evolutionary biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002319027,0.0001999244,0.0002439573,0.00005190329,0.0001733157,0.0000630209,0.0002575081,0.00008951726,0.0003731755],"category_scores_gemma":[0.0000477996,0.0002020229,0.000103174,0.0001683841,0.00008728546,0.000007242095,0.0002843944,0.00004357612,0.0000143456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001341263,"about_ca_system_score_gemma":0.00008603851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000467214,"about_ca_topic_score_gemma":0.00008781602,"domain_scores_codex":[0.9985508,0.0001492005,0.0002981077,0.0004280822,0.0001657264,0.0004080519],"domain_scores_gemma":[0.9993414,0.000005308479,0.00007873667,0.0004163529,0.00002018528,0.0001380118],"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":[0.0004984793,0.0001363094,0.003825564,0.00002463942,0.00002310394,0.00002431206,0.0001689877,0.000003576416,0.9915542,0.00003076054,0.003410179,0.0002998621],"study_design_scores_gemma":[0.002405132,0.0002216168,0.100394,0.000008081164,0.00003553943,0.00006047871,0.0007463755,0.000005450799,0.6280858,0.000079332,0.2673987,0.0005594063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955553,0.00114823,0.00001111962,0.0003416977,0.001187811,0.0001774084,0.001480552,0.00003240918,0.00006543869],"genre_scores_gemma":[0.9978238,0.00006731443,0.0001114011,0.000416774,0.0002724719,0.0000848267,0.0009396185,0.00003309263,0.0002507387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3634684,"threshold_uncertainty_score":0.8238257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442361258551158,"score_gpt":0.2581885216662165,"score_spread":0.2437649090807049,"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."}}