{"id":"W3044614976","doi":"10.1016/j.compeleceng.2020.106765","title":"Deep learning disease prediction model for use with intelligent robots","year":2020,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Computer science; Machine learning; Deep learning; Particle swarm optimization; Firefly algorithm; Feature extraction; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004889725,0.0001847494,0.0002549846,0.0001130505,0.0000545215,0.00004890561,0.00008111643,0.00005148837,0.000001554567],"category_scores_gemma":[0.0004009152,0.0001747799,0.00009864914,0.000375319,0.00001091782,0.0001063694,0.00003653203,0.0003091961,0.00000331608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070874,"about_ca_system_score_gemma":0.00007961568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002585467,"about_ca_topic_score_gemma":1.69807e-7,"domain_scores_codex":[0.9988952,0.000009607,0.0001938215,0.0003625009,0.0002086387,0.000330205],"domain_scores_gemma":[0.9989722,0.0002972144,0.00003469927,0.0001331646,0.00007684124,0.0004858625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002491462,0.00005988743,0.0009176364,0.0001433023,0.00005642004,0.00002654354,0.0001840876,0.9846905,0.0003794289,0.00007075335,0.0006967854,0.01252553],"study_design_scores_gemma":[0.0007355178,0.000483569,0.001321439,0.0001338676,0.0001338464,0.000007875572,0.00000127833,0.9939727,0.000227561,0.000003584327,0.002812505,0.0001662355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0144783,0.0002048333,0.9806177,0.003672911,0.00006826967,0.0004418716,0.000001495266,0.0005139883,6.360813e-7],"genre_scores_gemma":[0.9222566,0.00004027046,0.07238703,0.00478682,0.0003214586,0.00007044344,0.00004010726,0.00007709958,0.00002017181],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9082307,"threshold_uncertainty_score":0.7127318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712093373188555,"score_gpt":0.2492376106445145,"score_spread":0.2221166769126289,"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."}}