{"id":"W2092335890","doi":"10.1007/s00774-008-0866-0","title":"An active role for soluble and membrane intercellular adhesion molecule-1 in osteoclast activity in vitro","year":2008,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Metabolism","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Hôpital Notre-Dame; Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Canadian Institutes of Health Research; Jiangsu National Synergistic Innovation Center for Advanced Materials","keywords":"RANKL; Osteoclast; Bone resorption; Osteoblast; Osteoprotegerin; Chemistry; Cell biology; Cathepsin; Cathepsin K; Internal medicine; Resorption; Receptor; Endocrinology; Activator (genetics); Biology; In vitro; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384655,0.0001611586,0.0004275935,0.0001589374,0.00004427748,0.00001862287,0.00006451892,0.0001138889,0.000001745606],"category_scores_gemma":[0.00008074626,0.0001368975,0.0001002045,0.00008932315,0.0000700566,0.0000521758,0.00004939169,0.0001307219,1.470382e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000582147,"about_ca_system_score_gemma":0.00006565062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005791973,"about_ca_topic_score_gemma":0.00004708978,"domain_scores_codex":[0.9990566,0.00009554061,0.0003102794,0.0002174618,0.0001095639,0.000210541],"domain_scores_gemma":[0.9994525,0.00001656496,0.0001715784,0.0001213598,0.00008404275,0.0001539911],"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":[0.002400103,0.0002420048,0.0004574477,0.00002250386,0.00001807607,0.00004342248,0.0002436015,0.000009769597,0.9895891,0.000009315535,0.00006274982,0.006901893],"study_design_scores_gemma":[0.00371015,0.0003010782,0.03382878,0.00002951325,0.00005053561,0.0001972239,0.0002011188,0.00020016,0.9589909,0.00009334874,0.00221481,0.0001824259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878447,0.01161566,0.0001326666,0.0000900997,0.0001107847,0.0001442283,0.00002313001,0.000001898694,0.00003685751],"genre_scores_gemma":[0.9957547,0.002821479,0.0009229499,0.0001054222,0.0002663273,0.000008946132,0.0000169252,0.00001602006,0.00008724481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03337133,"threshold_uncertainty_score":0.5582519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009456615374568754,"score_gpt":0.2369332923883924,"score_spread":0.2274766770138237,"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."}}