{"id":"W1823931037","doi":"10.1109/iembs.1993.978773","title":"Estimation of the alignment errors in the SAECG","year":2005,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Estimation; Computer science; Statistics; Mathematics; Engineering","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":[0.001102675,0.0009463803,0.0007129469,0.001401482,0.00039341,0.001231344,0.0005670278,0.001119184,0.001852295],"category_scores_gemma":[0.006667599,0.0004153387,0.0005385828,0.001253482,0.000390443,0.001076237,0.0007123241,0.001119724,0.001130093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423295,"about_ca_system_score_gemma":0.00113169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004495075,"about_ca_topic_score_gemma":0.004608161,"domain_scores_codex":[0.9991128,0.0001901188,0.0000525855,0.0001717408,0.0003871628,0.00008543679],"domain_scores_gemma":[0.9979327,0.000896967,0.0001712075,0.0002744081,0.0006351326,0.00008968284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00235393,0.0001707436,0.01582299,0.000321774,0.0002406762,0.00050818,0.0002521542,0.2362057,0.1806827,0.008481452,0.003718941,0.5512407],"study_design_scores_gemma":[0.00004068919,0.0001675344,0.01392906,0.00003245644,0.00007900235,0.0005042919,0.00007557533,0.8910201,0.08751837,0.002572601,0.004005065,0.00005516542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08320088,0.000596169,0.9122484,0.0002391416,0.0001284013,0.00004061975,0.0003502303,0.001239603,0.001956607],"genre_scores_gemma":[0.4782516,0.0006924319,0.5152625,0.0001087544,0.0001157936,0.00005125849,0.001159238,0.0005739715,0.003784455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004495075,"threshold_uncertainty_score":0.008937836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362284426919876,"score_gpt":0.3365157130701748,"score_spread":0.3128928688009761,"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."}}