{"id":"W4242639409","doi":"10.1186/s12938-018-0598-x","title":"Correction to: Semivariogram and Semimadogram functions as descriptors for AMD diagnosis on SD-OCT topographic maps using Support Vector Machine","year":2018,"lang":"en","type":"erratum","venue":"BioMedical Engineering OnLine","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Mistake; Spelling; Support vector machine; Variogram; Computer science; Artificial intelligence; Correct name; Pattern recognition (psychology); Information retrieval; Machine learning; Biology; Botany; Philosophy","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":[0.004749681,0.002174059,0.001597918,0.004331196,0.002285541,0.003651359,0.003109356,0.004277969,0.07586139],"category_scores_gemma":[0.09992579,0.0009640445,0.001423277,0.002884856,0.001958117,0.002411694,0.002222303,0.008439292,0.03747113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229433,"about_ca_system_score_gemma":0.004397208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01221223,"about_ca_topic_score_gemma":0.01210548,"domain_scores_codex":[0.9951514,0.0007050994,0.001152181,0.0006269577,0.002100653,0.0002638185],"domain_scores_gemma":[0.9548068,0.01083525,0.001906165,0.002764391,0.0282904,0.00139697],"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":[0.00005821308,0.000007175386,0.0001425922,0.0001766105,0.00001587519,0.0004183115,0.00005421664,0.00009809429,0.0001254487,0.0009618628,0.9829846,0.01495684],"study_design_scores_gemma":[0.00005842404,0.00004243432,0.0007422805,0.0005569177,0.00005160823,0.002614916,0.0001361058,0.001052975,0.0009272496,0.002404035,0.9913446,0.00006852619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004610221,0.001631773,0.004809641,0.03680065,0.9512661,0.00004252345,0.001720012,0.0008444165,0.002423845],"genre_scores_gemma":[0.04160553,0.01726495,0.03900536,0.08665436,0.4581601,0.0004492374,0.009319904,0.009554605,0.3379859],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07586139,"threshold_uncertainty_score":0.2537816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749248383881351,"score_gpt":0.29771382410383,"score_spread":0.2802213402650164,"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."}}