{"id":"W4385872467","doi":"10.3850/978-981-18-5183-4_s33-01-310-cd","title":"Neuro-Symbolic AI for Sensor-based Human Performance Prediction; System Architectures and Applications","year":2022,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Canadian Institute of Steel Construction","keywords":"Computer science; Artificial intelligence; Artificial neural network; Domain (mathematical analysis); Deep learning; Focus (optics); Machine learning","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":[0.0001253359,0.00008938905,0.00008560659,0.0001219857,0.001251347,0.00007655175,0.0003509691,0.00002087209,0.00001051534],"category_scores_gemma":[0.000001720234,0.00008807691,0.00004417414,0.0003042976,0.0000330828,0.00005879397,0.0001367263,0.0001227998,0.000002144406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000040607,"about_ca_system_score_gemma":0.00002704062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000131599,"about_ca_topic_score_gemma":8.210169e-7,"domain_scores_codex":[0.9991956,0.00002649022,0.0001706549,0.0003300301,0.0001318758,0.0001452861],"domain_scores_gemma":[0.9993653,0.00005097306,0.00006064048,0.000420113,0.0000455374,0.00005738641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001424701,0.0002061059,0.004602359,0.0002281719,0.00002370272,7.71974e-7,0.0001815182,0.01398885,0.009077519,0.9160768,0.004754555,0.05084539],"study_design_scores_gemma":[0.0004430822,0.0004536003,0.005746427,0.000005718982,0.00001579656,0.00009534834,0.0001002113,0.7240425,0.00969658,0.001788698,0.2573365,0.0002755159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02001434,0.00001398449,0.9759091,0.0008649011,0.00003064271,0.0009014196,0.00003355182,0.0009678117,0.001264241],"genre_scores_gemma":[0.9760148,9.151104e-7,0.01801553,0.0008815693,0.00006180663,0.004617469,0.000009519733,0.00001021707,0.0003882012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9578936,"threshold_uncertainty_score":0.9624476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009847041038021788,"score_gpt":0.2347870173429246,"score_spread":0.2249399763049029,"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."}}