{"id":"W7019693508","doi":"","title":"Image analysis and recognition 16th international conference, ICIAR 2019, Waterloo, ON, Canada, August 27-29,2019 : proceedings","year":2019,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Image processing; Feature (linguistics); Image segmentation; Feature extraction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002840523,0.001435149,0.001519126,0.002610617,0.001102063,0.003158375,0.001522743,0.001318085,0.03619541],"category_scores_gemma":[0.00205829,0.0003060852,0.000863881,0.001865466,0.00129867,0.001206135,0.001244419,0.001671827,0.02286326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731587,"about_ca_system_score_gemma":0.004233431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07548037,"about_ca_topic_score_gemma":0.08294319,"domain_scores_codex":[0.9987588,0.0001497457,0.00009595007,0.0001948967,0.0006193779,0.0001812949],"domain_scores_gemma":[0.9974298,0.0001561105,0.00003272481,0.0001811414,0.001972701,0.0002275435],"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":[0.0002168851,0.0001602274,0.0007926607,0.0002381075,0.00007168913,0.0001211082,0.00006175241,0.001035907,0.007427341,0.002172438,0.6108633,0.3768386],"study_design_scores_gemma":[0.00006383072,0.0003382976,0.01111775,0.0002866441,0.0001775236,0.0007396,0.0004983234,0.04359731,0.02322271,0.004674133,0.9151759,0.0001079753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04070706,0.08811443,0.5530925,0.02083632,0.09274783,0.001445347,0.02101658,0.0194017,0.1626382],"genre_scores_gemma":[0.07033671,0.03812585,0.1912588,0.002236975,0.00579766,0.0003767478,0.04648281,0.002097224,0.6432872],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9245197,"threshold_uncertainty_score":0.1500821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695785210321343,"score_gpt":0.2705871959765901,"score_spread":0.2536293438733767,"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."}}