{"id":"W2013415708","doi":"10.1007/s10278-012-9542-y","title":"Evaluation of Irreversible Compression Ratios for Medical Images Thin Slice CT and Update of Canadian Association of Radiologists (CAR) Guidelines","year":2012,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Uncompressed video; JPEG; Medicine; Radiology; Compression (physics); Image quality; Confidence interval; Nuclear medicine; Computer science; Data compression; Artificial intelligence; Materials science; Image (mathematics); Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009022547,0.001034554,0.0009303041,0.008169367,0.001426674,0.002268501,0.003917941,0.001659524,0.002323832],"category_scores_gemma":[0.03375577,0.0004428508,0.001401478,0.003662271,0.001333895,0.001213883,0.000814624,0.001772925,0.0006447186],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007802614,"about_ca_system_score_gemma":0.0166164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2826513,"about_ca_topic_score_gemma":0.4456808,"domain_scores_codex":[0.9917951,0.001001091,0.00172348,0.000348321,0.004713974,0.0004180637],"domain_scores_gemma":[0.9626188,0.004714604,0.002732095,0.0005414005,0.02812361,0.001269509],"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":[0.0008588968,0.0002520728,0.2778042,0.003258729,0.0004070566,0.003693238,0.001473762,0.002080465,0.006004332,0.006645308,0.1707242,0.5267979],"study_design_scores_gemma":[0.0002323404,0.000582306,0.5371656,0.009321881,0.002232209,0.0206432,0.003080663,0.009681916,0.01457852,0.004895014,0.3971549,0.0004315137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2325933,0.4034846,0.0546125,0.08315753,0.005167847,0.002261117,0.01812761,0.002176129,0.1984193],"genre_scores_gemma":[0.7406856,0.08600951,0.1388202,0.006319066,0.001668103,0.0007732369,0.01059109,0.0005034654,0.01462969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9921974,"threshold_uncertainty_score":0.5620121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05303819430867217,"score_gpt":0.3593576126412429,"score_spread":0.3063194183325707,"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."}}