{"id":"W4411781319","doi":"10.18280/ts.420322","title":"Development of an Automated Sports Teaching Assistance Tool Based on Image Recognition","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Image (mathematics); Artificial intelligence; Computer vision; Multimedia; Human–computer interaction; Computer graphics (images)","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":[0.0002400979,0.0007566899,0.0004982306,0.0007918442,0.0001682117,0.0004974496,0.001350501,0.0005868129,0.005230958],"category_scores_gemma":[0.0006196311,0.0002883837,0.0004257243,0.0004467621,0.0002192333,0.0007997677,0.0006580549,0.0004942637,0.003026107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330663,"about_ca_system_score_gemma":0.0007077027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002382041,"about_ca_topic_score_gemma":0.002965164,"domain_scores_codex":[0.9997303,0.00002106279,0.00001391722,0.00008866651,0.0001050416,0.00004108879],"domain_scores_gemma":[0.9997659,0.000054027,0.00002324502,0.00003723875,0.00009490313,0.00002467865],"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":[0.0001544076,0.0001798064,0.001599603,0.000213126,0.00005790121,0.0005177676,0.00009651733,0.01632131,0.09392679,0.002777463,0.01292344,0.8712319],"study_design_scores_gemma":[0.00004187486,0.0001431495,0.002151531,0.00003561283,0.00005186848,0.0004641306,0.00005867354,0.8428743,0.1265548,0.001904321,0.02567249,0.00004727617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01689974,0.0001572612,0.9511486,0.0001386498,0.00008952766,0.0001822891,0.0002983701,0.02733155,0.003753977],"genre_scores_gemma":[0.19051,0.0002009823,0.7973465,0.0002526054,0.00003454955,0.0002407513,0.0008822121,0.0004526697,0.01007986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005230958,"threshold_uncertainty_score":0.01749933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675396214128391,"score_gpt":0.2584832497836237,"score_spread":0.2417292876423398,"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."}}