{"id":"W3209823143","doi":"10.21528/cbic2021-140","title":"Machine Learning based sampling of X-Ray images for a computer-aided detection of Tuberculosis","year":2021,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Computer science; Artificial intelligence; Annotation; Context (archaeology); Pattern recognition (psychology); Similarity (geometry); Relevance (law); Task (project management); Sampling (signal processing); Software; Automatic image annotation; Set (abstract data type); Kernel (algebra); Image retrieval; Feature extraction; Feature (linguistics); Process (computing); Machine learning; Computer vision; Image (mathematics); Mathematics","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":[0.0009443613,0.0004592201,0.0005103652,0.001296277,0.0002792197,0.0006096148,0.0005962813,0.000577573,0.00131141],"category_scores_gemma":[0.002453795,0.0002358867,0.000457361,0.001009651,0.0003036284,0.000519495,0.0004181799,0.0003571075,0.0005483705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295232,"about_ca_system_score_gemma":0.0004025127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009961454,"about_ca_topic_score_gemma":0.001777489,"domain_scores_codex":[0.9994451,0.0001423238,0.00003705561,0.0001190693,0.0002004385,0.00005597077],"domain_scores_gemma":[0.9988809,0.0004533693,0.0001194357,0.000175969,0.0003190349,0.00005124805],"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":[0.001497936,0.0005208304,0.01731745,0.0006565059,0.0001063757,0.0004400138,0.0003188968,0.04079537,0.4211633,0.001749539,0.002633693,0.5128],"study_design_scores_gemma":[0.00004551076,0.0008194454,0.03525631,0.00004274835,0.00009587013,0.001632154,0.000316279,0.6493379,0.3040884,0.002602742,0.005699272,0.00006327788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2786924,0.0006892943,0.7161806,0.0002128196,0.00005442565,0.0001888906,0.0003416776,0.002329308,0.001310654],"genre_scores_gemma":[0.6335671,0.0003136643,0.3641759,0.00007689709,0.00002784455,0.0001206916,0.0006818834,0.0001217101,0.0009142892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00131141,"threshold_uncertainty_score":0.004994333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473202536531601,"score_gpt":0.2519871491039157,"score_spread":0.2372551237385997,"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."}}