{"id":"W4391578484","doi":"10.1080/09540091.2024.2306962","title":"AICOM-MP: an AI-based monkeypox detector for resource-constrained environments","year":2024,"lang":"en","type":"article","venue":"Connection Science","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Monkeypox; Computer science; Detector; Artificial intelligence; Telecommunications; Vaccinia; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007690364,0.0001159715,0.0001142417,0.0002881562,0.0005279124,0.0001202842,0.0003477769,0.0001070805,0.0004940107],"category_scores_gemma":[0.0003588742,0.00009973082,0.0000687002,0.0003845248,0.0009924317,0.000324009,0.00004695808,0.0002067349,0.0005122288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006396,"about_ca_system_score_gemma":0.0002776821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002849509,"about_ca_topic_score_gemma":0.00001735939,"domain_scores_codex":[0.9986638,0.00007721592,0.0001590428,0.0005175658,0.00009046157,0.0004918486],"domain_scores_gemma":[0.9993396,0.0002402747,0.00002644817,0.0002738397,0.00003577049,0.00008411272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009672176,0.00003729217,0.00009992447,0.00001044458,0.00001279473,0.000002727902,0.0001045594,0.00003464962,0.9559427,0.000763281,0.001022001,0.04187294],"study_design_scores_gemma":[0.0005936348,0.0003587718,0.0007781505,0.00001928764,0.000009266138,0.00002386954,0.0001160714,0.003370163,0.6226827,0.0002871891,0.3716198,0.000141077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185951,0.00148082,0.07220631,0.00150483,0.002209748,0.0009053401,0.0001938853,0.0004249962,0.002478934],"genre_scores_gemma":[0.9973791,0.000004974494,0.0001264049,0.0004344857,0.00005054473,0.00006516992,0.00003082726,0.00001104761,0.001897446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3705978,"threshold_uncertainty_score":0.6583835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746600345583997,"score_gpt":0.308521640929578,"score_spread":0.2810556374737381,"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."}}