{"id":"W4412536966","doi":"10.1109/icssas66150.2025.11080760","title":"Intelligent Adaptive Systems for Visual Training and Assistance","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Training (meteorology); Artificial intelligence; Human–computer interaction","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":[0.0004164465,0.0006259636,0.0003771075,0.0006278837,0.0003115928,0.0015353,0.001060991,0.001806888,0.02021584],"category_scores_gemma":[0.001490383,0.000192251,0.0003919119,0.0008591257,0.0006052966,0.001317302,0.00116664,0.001523577,0.00574392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006009779,"about_ca_system_score_gemma":0.0005516154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559946,"about_ca_topic_score_gemma":0.001436412,"domain_scores_codex":[0.9995534,0.00009307375,0.00003482947,0.00007340514,0.0002112312,0.00003409056],"domain_scores_gemma":[0.9994752,0.0002170298,0.00005060877,0.00006946494,0.0001548594,0.00003277704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001892534,0.0001489067,0.0007431594,0.0009741936,0.00005904583,0.0004203484,0.0004166739,0.01908794,0.01998098,0.10895,0.06381535,0.785214],"study_design_scores_gemma":[0.00007532343,0.0001869302,0.001802632,0.0005434717,0.0000536497,0.0007380349,0.0002432535,0.1362772,0.006353191,0.1035257,0.7501127,0.00008795299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006160396,0.02465913,0.8399207,0.004064301,0.001666253,0.0004083482,0.0005821045,0.008118221,0.1144205],"genre_scores_gemma":[0.2785096,0.02686346,0.4982562,0.004087563,0.001679615,0.001371995,0.001963096,0.0007276716,0.1865407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02021584,"threshold_uncertainty_score":0.06762874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306050592782018,"score_gpt":0.3114258542981814,"score_spread":0.2783653483703613,"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."}}