{"id":"W4410470705","doi":"10.2196/68029","title":"Monte Carlo dose estimation of absorbed dose to the hematopoietic stem cell layer of the bone marrow assuming non-uniform distribution around the vascular endothelium of the bone marrow (Preprint)","year":2024,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bone marrow; Stem cell; Nuclide; Absorbed dose; Haematopoiesis; Nuclear medicine; Dosimetry; Chemistry; Medicine; Pathology; Biology; Physics; Cell biology; Nuclear physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004203369,0.0004037986,0.000433843,0.0005707472,0.000291088,0.0006197474,0.0007019172,0.000912585,0.002992116],"category_scores_gemma":[0.001264856,0.0003846599,0.000649744,0.0006077492,0.0002650162,0.0003108152,0.0002671449,0.0003374371,0.0005738427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134427,"about_ca_system_score_gemma":0.0007268397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007129825,"about_ca_topic_score_gemma":0.004712052,"domain_scores_codex":[0.9998108,0.00005242568,0.00001123786,0.00004129728,0.00006964184,0.00001473649],"domain_scores_gemma":[0.9993316,0.0004212465,0.00008371741,0.00004009136,0.0001072608,0.00001618404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001455459,0.00003512383,0.004813115,0.0001410175,0.00004555521,0.0001277558,0.00005569247,0.9764553,0.006715563,0.001804701,0.0004294422,0.009231191],"study_design_scores_gemma":[0.00002485567,0.0000617429,0.002383696,0.00002973309,0.00003913368,0.000179688,0.00001982427,0.9884101,0.006426142,0.001176046,0.00122526,0.00002377792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2621144,0.002295911,0.7102393,0.0002165431,0.00007553328,0.0002383574,0.001268878,0.001782423,0.02176856],"genre_scores_gemma":[0.8819566,0.0008972102,0.1096788,0.0001258842,0.00001484211,0.0002598422,0.0009506344,0.0003276241,0.005788452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007129825,"threshold_uncertainty_score":0.01417661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097697259720513,"score_gpt":0.2520652148950626,"score_spread":0.2410882422978574,"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."}}