{"id":"W2039988116","doi":"10.1007/s10278-010-9308-3","title":"Letter to the Editor Re: PanCanadian Evaluation of Irreversible Compression Ratios (“Lossy” Compression) for Development of National Guidelines","year":2010,"lang":"en","type":"letter","venue":"Journal of Digital Imaging","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lossy compression; Compression (physics); Computer science; Data compression; Algorithm; Artificial intelligence; Materials science; Composite material","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":[0.001804587,0.0006368667,0.001230105,0.0008327585,0.002106541,0.002290258,0.001303338,0.03483021,0.00691292],"category_scores_gemma":[0.02350898,0.0006166817,0.0007787989,0.0005747164,0.001406824,0.002100826,0.0006661888,0.0239924,0.006241599],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00371262,"about_ca_system_score_gemma":0.003765514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003666024,"about_ca_topic_score_gemma":0.006604826,"domain_scores_codex":[0.9983169,0.0003699672,0.0002398869,0.000218289,0.0005966218,0.0002583447],"domain_scores_gemma":[0.9941181,0.002508816,0.0004735273,0.0001515921,0.002124906,0.0006231449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005439001,0.00002695792,0.0003877586,0.00003730414,0.000007686715,0.003074418,0.00005900664,0.00005468064,0.000133745,0.001143075,0.9895561,0.005464852],"study_design_scores_gemma":[0.0001688799,0.00008900704,0.001903225,0.000439523,0.00004651219,0.009834516,0.0004261057,0.001114405,0.0009011478,0.006371839,0.9786129,0.0000919055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.000687409,0.0007606653,0.0001457486,0.9625745,0.03116991,0.00002153693,0.00005538522,0.00003107286,0.004553705],"genre_scores_gemma":[0.008926834,0.001215925,0.0006204292,0.9134705,0.05665303,0.00007026742,0.00005262183,0.0000605255,0.01892983],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.996334,"threshold_uncertainty_score":0.02693713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08302255933786884,"score_gpt":0.3668809361966186,"score_spread":0.2838583768587498,"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."}}