{"id":"W4404194241","doi":"10.1002/jor.26008","title":"A 4D time‐lapse morphometry method to quantify bone formation and resorption during distraction osteogenesis","year":2024,"lang":"en","type":"article","venue":"Journal of Orthopaedic Research®","topic":"Bone fractures and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Shriners Hospitals for Children - Canada; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; Shriners Hospitals for Children","keywords":"Distraction osteogenesis; Distraction; Resorption; Bone resorption; Orthodontics; Bone formation; Dentistry; Medicine; Biology; Pathology; Neuroscience; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006222459,0.0005937868,0.0002992951,0.001747842,0.000199364,0.0003726041,0.0005024789,0.0004040653,0.001245967],"category_scores_gemma":[0.0004299066,0.0005105622,0.0003225207,0.0006129024,0.0003239787,0.0003197037,0.0003098244,0.0005088096,0.0004543341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241712,"about_ca_system_score_gemma":0.0002831355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008432126,"about_ca_topic_score_gemma":0.001772004,"domain_scores_codex":[0.9995872,0.00004247722,0.00002963047,0.0001079609,0.0001995761,0.00003309615],"domain_scores_gemma":[0.9995518,0.00009046807,0.0001521767,0.00007108773,0.0001098029,0.00002457031],"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":[0.00002853435,0.00001519158,0.0007408804,0.00003264153,0.000005435934,0.00001554007,0.00002377373,0.0002689436,0.9912867,0.00009747284,0.00004145559,0.007443396],"study_design_scores_gemma":[0.00001161661,0.000222451,0.02791202,0.00001159477,0.00004013065,0.0005351595,0.00004747057,0.02513139,0.9425548,0.0001283958,0.003364231,0.00004074885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4156644,0.00114359,0.5786512,0.00006922497,0.00009919234,0.0001762727,0.0007551861,0.001634096,0.001806765],"genre_scores_gemma":[0.3726225,0.0008527203,0.6215746,0.00005529937,0.00003522351,0.0006659086,0.0005296429,0.0002123771,0.003451698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001747842,"threshold_uncertainty_score":0.004168212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04833882655209915,"score_gpt":0.4029198941274838,"score_spread":0.3545810675753847,"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."}}