{"id":"W2788648776","doi":"10.20381/ruor-21544","title":"Predetection of Stroke by Using Heuristics and Artificial Neural Networks","year":2018,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa","keywords":"Artificial neural network; Heuristics; Artificial intelligence; Computer science; Machine learning; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002888498,0.0001456553,0.0002535359,0.0003961058,0.0001992708,0.00002362961,0.0002279624,0.0002799305,0.00003466847],"category_scores_gemma":[0.00006535357,0.0002058047,0.00006379367,0.00032171,0.0001841439,0.0001580234,0.0000609834,0.0005114643,0.000001961069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268403,"about_ca_system_score_gemma":0.00003286286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001956174,"about_ca_topic_score_gemma":0.0005251394,"domain_scores_codex":[0.998786,0.00007339106,0.0001518673,0.0002169844,0.0004617497,0.0003099826],"domain_scores_gemma":[0.9991756,0.0001098453,0.00008763869,0.0001796453,0.0003463188,0.0001009225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001071799,0.00008853016,0.01053882,0.001873096,0.0003486072,0.00004642986,0.001284558,0.008007846,0.9385495,0.0001885475,0.003475648,0.03549119],"study_design_scores_gemma":[0.001426169,0.001537304,0.0153851,0.001095495,0.000365521,0.00001283187,0.01649646,0.579814,0.3781698,0.0004953805,0.003696746,0.001505278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915552,0.0001654202,0.004921159,0.000002921656,0.0005273956,0.0002283066,0.00008907539,0.0000449862,0.002465494],"genre_scores_gemma":[0.998057,0.0001237042,0.0007265395,1.671431e-7,0.0001949101,2.780319e-7,0.00009128502,0.00003607032,0.0007700481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5718061,"threshold_uncertainty_score":0.8392472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03474004995154482,"score_gpt":0.2778869436601256,"score_spread":0.2431468937085808,"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."}}