{"id":"W1985062535","doi":"10.1007/s11548-014-1143-4","title":"Assessment of feasibility of running RSNA’s MIRC on a Raspberry Pi: a cost-effective solution for teaching files in radiology","year":2014,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Radiology practices and education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Operating system; Server; Software; USB; Raspberry pi; Intranet; Web server; Embedded system; Database; The Internet","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":[0.005770401,0.0005737826,0.0002991756,0.001013679,0.000748002,0.00123782,0.001959263,0.001531304,0.01952413],"category_scores_gemma":[0.0272599,0.0003297102,0.0006198251,0.0004128212,0.0005858774,0.001807122,0.0009025683,0.0006437377,0.004527705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008427106,"about_ca_system_score_gemma":0.00234405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003383468,"about_ca_topic_score_gemma":0.004629189,"domain_scores_codex":[0.9943413,0.00212519,0.000337568,0.0004767101,0.002217025,0.0005021687],"domain_scores_gemma":[0.9772459,0.01090497,0.001733046,0.00127147,0.006638325,0.002206397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01688258,0.01899446,0.2116106,0.001880891,0.0002345211,0.003460477,0.003121008,0.003096835,0.04629007,0.001238683,0.01256496,0.6806249],"study_design_scores_gemma":[0.002677615,0.1306965,0.6637343,0.0009733691,0.00144245,0.01087145,0.01900202,0.0338095,0.07251734,0.001718632,0.06209961,0.0004572259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692367,0.0003347294,0.01274339,0.002156995,0.0002309458,0.001510075,0.0005538184,0.0007860649,0.01244732],"genre_scores_gemma":[0.9497725,0.000288475,0.04088135,0.0004810997,0.0001144179,0.0004901565,0.0004102807,0.0001036504,0.007458037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01952413,"threshold_uncertainty_score":0.06531471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04790064531998599,"score_gpt":0.3855163120002483,"score_spread":0.3376156666802623,"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."}}