{"id":"W1557775102","doi":"","title":"PQCT MEASUREMENTS OF BONE MASS, DENSITY, GEOMETRY AND STRUCTURE AT THE DISTAL RADIUS: PREDICTION OF BONE STRENGTH, AND THE IN VIVO EFFECTS OF PHARMACOLOGICAL TREATMENTS FOR OSTEOPOROSIS","year":2003,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Government of Ontario; McMaster University","keywords":"Osteoporosis; RADIUS; In vivo; Bone mass; Bone density; Bone structure; Quantitative computed tomography; Geometry; Medicine; Biomedical engineering; Materials science; Mathematics; Endocrinology; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002791691,0.000268728,0.0008231514,0.0002314246,0.000127425,0.000008172668,0.00009197198,0.000312314,0.001232356],"category_scores_gemma":[0.0001078296,0.0001754668,0.0001486139,0.0004188181,0.0003229895,0.00006554451,0.00006588553,0.00028816,1.579671e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954255,"about_ca_system_score_gemma":0.0001303406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002577978,"about_ca_topic_score_gemma":0.0009767327,"domain_scores_codex":[0.9981565,0.0002666233,0.0004387968,0.0003542783,0.0005017088,0.0002820273],"domain_scores_gemma":[0.9986692,0.0003523951,0.0004466714,0.0001982736,0.0002009854,0.0001324545],"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":[0.05616342,0.001431651,0.3486804,0.01587635,0.003455413,0.0001247494,0.003938236,0.00001251672,0.4331163,0.0001357807,0.001369254,0.1356959],"study_design_scores_gemma":[0.08061208,0.004307772,0.2943018,0.002109935,0.008866478,0.00005515359,0.009020255,0.0001627156,0.5969374,0.0001317521,0.002983059,0.0005115365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913023,0.002311904,0.00000530786,0.00006241834,0.0001431265,0.002399215,0.0003394439,0.000006738352,0.003429609],"genre_scores_gemma":[0.9541913,0.001183062,0.0002046852,0.00003244662,0.00002543306,0.0000130165,0.0002841832,0.00002943865,0.04403639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638211,"threshold_uncertainty_score":0.9996806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624027590403746,"score_gpt":0.2600906433535707,"score_spread":0.2438503674495333,"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."}}