{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003298955,0.0001191594,0.0002524066,0.0002454931,0.00002659738,0.0000818019,0.00005692494,0.0001305477,0.0008602972],"category_scores_gemma":[0.00005208299,0.00009430459,0.00004694324,0.0003278254,0.00004504707,0.00009404192,0.00004368816,0.0001036062,0.0004560794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008338974,"about_ca_system_score_gemma":0.0001634495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006545867,"about_ca_topic_score_gemma":0.00008248756,"domain_scores_codex":[0.9987446,0.00004761975,0.0003031542,0.0002628436,0.0002205404,0.0004212484],"domain_scores_gemma":[0.9995309,0.00002409786,0.00001656531,0.0002074007,0.00002538669,0.0001956518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003372917,0.00007263286,0.001920889,0.0006316831,0.00001420235,0.0009893854,0.0001826847,1.103366e-8,0.9546081,0.00008049006,0.03783964,0.003322949],"study_design_scores_gemma":[0.004047596,0.0008161314,0.264893,0.001113815,0.00003848797,0.0008088172,0.00008666407,0.0005594284,0.1887733,0.0001982122,0.5382264,0.0004381928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905593,0.0007545804,6.850505e-7,0.005828025,0.001575657,0.0003031553,0.0000259412,0.0001365073,0.0008161535],"genre_scores_gemma":[0.9965165,0.00009643822,0.0001272069,0.0003154499,0.000338289,0.00003180499,0.0001108275,0.0000272664,0.002436184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7658348,"threshold_uncertainty_score":0.9419652,"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."}}