{"id":"W2889026124","doi":"10.1007/978-3-030-12738-1_13","title":"Towards Automated Pain Detection in Children Using Facial and Electrodermal Activity","year":2019,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Nursing Research","keywords":"Computer science; Artificial intelligence; Adaptation (eye); Domain (mathematical analysis); Domain adaptation; Facial expression; Computer vision; Psychology; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004719689,0.000755289,0.0005865009,0.001036773,0.0001498461,0.0007295461,0.0006040466,0.0007926701,0.001739893],"category_scores_gemma":[0.001190716,0.0002378728,0.000538032,0.0005704424,0.0001661785,0.0003737559,0.0006694066,0.0005881618,0.001870203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573749,"about_ca_system_score_gemma":0.000490728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485277,"about_ca_topic_score_gemma":0.00441486,"domain_scores_codex":[0.9995403,0.0001033733,0.00002578,0.0001230335,0.0001476909,0.00005995065],"domain_scores_gemma":[0.9994969,0.0001785751,0.00005507641,0.0000408288,0.0001976209,0.00003091641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003684227,0.0001618343,0.03024025,0.0002765301,0.0001225676,0.0004099915,0.0001162411,0.00369194,0.2334605,0.0008086865,0.003583113,0.7267599],"study_design_scores_gemma":[0.0001492654,0.001184662,0.274251,0.0002974263,0.0004990068,0.006018844,0.0006494322,0.4472806,0.2425709,0.004525329,0.02244802,0.0001254938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1460227,0.002484888,0.8407869,0.0004110198,0.0001652485,0.0001688835,0.001589177,0.003003203,0.00536798],"genre_scores_gemma":[0.5089877,0.002001993,0.4794001,0.0002676242,0.0001771285,0.0001708117,0.001928799,0.0001741906,0.006891688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002485277,"threshold_uncertainty_score":0.005820513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00799409837958025,"score_gpt":0.2654933006627803,"score_spread":0.2574992022832001,"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."}}