{"id":"W6999501735","doi":"","title":"Deep Learning For The Classification of Lung Diseases
\\nUsing Chest X-Rays","year":2023,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Milestone; Field (mathematics); Transfer of learning; Contextual image classification; Deep belief network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008245153,0.0003332341,0.0006120065,0.00158821,0.001255363,0.0001190688,0.0006259579,0.0004031513,0.00002611759],"category_scores_gemma":[0.001202836,0.0003232598,0.0005003229,0.00200972,0.0003536025,0.000168062,0.0001366847,0.001416187,0.00002052503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600331,"about_ca_system_score_gemma":0.002023747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007680951,"about_ca_topic_score_gemma":0.008022668,"domain_scores_codex":[0.9964132,0.0004392348,0.0004325503,0.0008487336,0.001133005,0.0007332864],"domain_scores_gemma":[0.9941481,0.003357306,0.000434784,0.0008634112,0.0008949728,0.0003014313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01676777,0.001993717,0.7288745,0.02330847,0.005555178,0.002712437,0.009732982,0.002690939,0.1330984,0.003361061,0.03837829,0.03352628],"study_design_scores_gemma":[0.001461066,0.0005054155,0.909901,0.001075873,0.001229518,0.00000828695,0.008011608,0.0141972,0.00502053,0.00007767337,0.05813506,0.000376795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762933,0.001491806,0.0005483078,0.006758679,0.002631775,0.004028732,0.00002535071,0.000484724,0.007737348],"genre_scores_gemma":[0.9505934,0.0007459478,0.00001484205,0.00003068805,0.0009017283,0.00004228874,0.0005333757,0.0001440699,0.04699369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1810265,"threshold_uncertainty_score":0.9999219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0486154422377587,"score_gpt":0.3406416466760598,"score_spread":0.2920262044383011,"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."}}