{"id":"W4415853421","doi":"10.3390/life15111706","title":"PICU Face and Thoracoabdominal Detection Using Self-Supervised Divided Space–Time Mamba","year":2025,"lang":"en","type":"article","venue":"Life","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Montréal","funders":"","keywords":"Robustness (evolution); Intensive care; Software deployment; CLIPS; Feature extraction; Architecture; Feature (linguistics); Transformer","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":[0.0001010775,0.0001652728,0.0001738273,0.0001238243,0.0001034591,0.0000755554,0.00007983085,0.0000920645,0.00001290395],"category_scores_gemma":[0.00006780242,0.0001816973,0.00004048568,0.0002622988,0.00001797257,0.000189804,0.0000657853,0.000152278,0.00003297486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031275,"about_ca_system_score_gemma":0.00002041131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003068482,"about_ca_topic_score_gemma":0.000004908875,"domain_scores_codex":[0.9992728,0.00003109223,0.0001568941,0.0001869636,0.0001153133,0.0002369616],"domain_scores_gemma":[0.9996055,0.00008679285,0.00001846057,0.0001639744,0.00002464314,0.0001005822],"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":[0.00001555967,0.00001275068,0.006795857,0.0001678549,0.00008272408,0.00001014411,0.0001984704,0.002334401,0.9859198,0.00001825287,0.00009424105,0.004349993],"study_design_scores_gemma":[0.001091144,0.00005673714,0.0106244,0.0002609362,0.0001638523,0.00001685494,0.0003378876,0.1591353,0.8264429,0.0002662985,0.001007191,0.0005964988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592012,0.0004175473,0.0381262,0.00004214773,0.0005578683,0.0001831378,0.000003637153,0.0004372102,0.001031094],"genre_scores_gemma":[0.9939665,0.0000199251,0.005605996,0.00003276993,0.000230261,0.00001068793,0.00000114098,0.0000298041,0.0001029188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594768,"threshold_uncertainty_score":0.7409402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008799977461099966,"score_gpt":0.2214813607038849,"score_spread":0.2126813832427849,"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."}}