{"id":"W4411779945","doi":"10.18280/ts.420349","title":"Application of Image Enhancement and Object Detection Technologies in Virtual Teaching Systems for Vocational Skills Training","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Innovative Educational Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Training (meteorology); Computer science; Object (grammar); Image (mathematics); Artificial intelligence; Virtual image; Computer vision; Multimedia; Psychology; Geography; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005673887,0.0004168536,0.0003293699,0.0007571821,0.0001959124,0.0007312832,0.0005797667,0.0006638888,0.00207902],"category_scores_gemma":[0.001210667,0.0002435422,0.000367504,0.0003997541,0.000327778,0.0008681754,0.0006949774,0.0004857574,0.0007884327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003587754,"about_ca_system_score_gemma":0.0002560733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005714801,"about_ca_topic_score_gemma":0.000628153,"domain_scores_codex":[0.9996994,0.00007340467,0.00001318719,0.00007570381,0.0001052909,0.00003294794],"domain_scores_gemma":[0.9996412,0.0001500078,0.00003776816,0.00004893737,0.00009769938,0.0000243461],"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":[0.000248426,0.000196061,0.002737058,0.0002516779,0.00007121127,0.0002123034,0.0003082293,0.03912691,0.1690657,0.005278984,0.002165346,0.7803381],"study_design_scores_gemma":[0.00003060926,0.0004890658,0.006918066,0.00007885575,0.0001003262,0.0007632113,0.0001471968,0.8028868,0.166116,0.006163362,0.01625054,0.00005604871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04481697,0.0009265513,0.9493787,0.0002209536,0.00007680372,0.00006375546,0.00003555521,0.001011892,0.003468717],"genre_scores_gemma":[0.5458399,0.00124999,0.4472698,0.0002250841,0.00007864824,0.00008751282,0.0000944365,0.0001061226,0.005048535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00207902,"threshold_uncertainty_score":0.006954968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710409771227056,"score_gpt":0.3396318997664401,"score_spread":0.3225278020541696,"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."}}