{"id":"W4399326588","doi":"10.1016/j.actbio.2024.05.047","title":"Curved mineral platelets in bone","year":2024,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Research, Development and Innovation Office; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Nemzeti Kutatási és Technológiai Hivatal","keywords":"Materials science; Platelet; Bone mineral; Biomedical engineering; Composite material; Osteoporosis; Medicine; Internal medicine","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":[0.0002486721,0.0002179551,0.0001893645,0.0008117591,0.0005306837,0.001239536,0.0003894393,0.001005908,0.008176687],"category_scores_gemma":[0.00073702,0.0002826969,0.0001589349,0.0004953277,0.0009340882,0.0009324547,0.0008482303,0.000965559,0.001585857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004111393,"about_ca_system_score_gemma":0.0002569307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003956389,"about_ca_topic_score_gemma":0.0005064551,"domain_scores_codex":[0.9998079,0.00004102302,0.000008487697,0.00003444649,0.00007205858,0.00003606698],"domain_scores_gemma":[0.9997558,0.00007051515,0.00004092063,0.00003414048,0.00005044193,0.00004828484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006469296,0.00007563527,0.003673609,0.0004301883,0.00008961171,0.004480768,0.0009997239,0.002452164,0.303289,0.6092438,0.01011389,0.06450475],"study_design_scores_gemma":[0.0001998143,0.001035758,0.01141249,0.0001795884,0.0001295868,0.01221169,0.002522442,0.007505002,0.2855556,0.3661327,0.313013,0.0001023073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7492158,0.05281891,0.05039669,0.01186576,0.002826277,0.0001142425,0.0003453202,0.0004239555,0.1319931],"genre_scores_gemma":[0.9487906,0.005951385,0.007512662,0.00100954,0.000290583,0.00003160122,0.0001234794,0.00006601642,0.03622417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008176687,"threshold_uncertainty_score":0.02735376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034437969858237,"score_gpt":0.3458713857946088,"score_spread":0.3155270060960264,"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."}}