{"id":"W2028944132","doi":"10.1016/j.jocd.2008.05.037","title":"Automated Software In DXA Quality Control: Retrospective Analysis of Daily Phantom Scans","year":2008,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Particle size; Tadalafil; Dissolution; Crystallinity; Medicine; Supercritical fluid; Dispersion (optics); Particle (ecology); Materials science; Biomedical engineering; Analytical Chemistry (journal); Chromatography; Composite material; Chemical engineering; Surgery; Thermodynamics; Chemistry; Optics","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":[0.02263776,0.00100989,0.00118952,0.003849084,0.0009240421,0.002776846,0.001768248,0.001040517,0.005176502],"category_scores_gemma":[0.03768804,0.00123386,0.0005209869,0.003169752,0.0008965224,0.0009069342,0.001046143,0.0008649844,0.002034764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007511224,"about_ca_system_score_gemma":0.001709489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00330539,"about_ca_topic_score_gemma":0.005357903,"domain_scores_codex":[0.9881329,0.004881043,0.001361645,0.001642147,0.003747125,0.0002351727],"domain_scores_gemma":[0.9621136,0.01633096,0.003053038,0.006235488,0.01193085,0.0003361675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005392971,0.0004533173,0.1277603,0.00134752,0.0008076891,0.0004224181,0.00248606,0.009286365,0.09454153,0.00376488,0.02046804,0.7332689],"study_design_scores_gemma":[0.0008754417,0.001437477,0.3886475,0.0003940814,0.0012593,0.005164489,0.001024137,0.235605,0.2894343,0.003948268,0.07172249,0.0004875751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2415981,0.003527554,0.7115257,0.000592329,0.0003775942,0.001371094,0.003778601,0.03036596,0.006863134],"genre_scores_gemma":[0.5140414,0.0007518507,0.4679542,0.0003966421,0.0001174332,0.001619798,0.002520963,0.008497003,0.004100665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02263776,"threshold_uncertainty_score":0.1197214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07121215137031892,"score_gpt":0.3986379609541398,"score_spread":0.3274258095838208,"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."}}