{"id":"W4324125193","doi":"10.2139/ssrn.4383182","title":"TrainERAI - Live Gym Tracker using Artificial Intelligence","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science","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":[0.0002615088,0.0005129476,0.0006493608,0.0008125098,0.0003580565,0.0007711069,0.0009379234,0.0005995753,0.04725009],"category_scores_gemma":[0.0006392563,0.0002811663,0.0003068975,0.0004515258,0.0001108446,0.0005346485,0.000944962,0.0004585089,0.01608986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415794,"about_ca_system_score_gemma":0.0004880267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080205,"about_ca_topic_score_gemma":0.004595266,"domain_scores_codex":[0.9997482,0.00001973026,0.00001325049,0.00008368955,0.0001058333,0.00002928663],"domain_scores_gemma":[0.9997697,0.00003299023,0.00001510866,0.00003685063,0.0000815229,0.00006370856],"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":[0.001969373,0.0006954636,0.01145655,0.0007312649,0.0001927356,0.0004060218,0.0003229604,0.006370187,0.08504144,0.002673804,0.1944905,0.6956497],"study_design_scores_gemma":[0.00110085,0.00137209,0.06632502,0.0002113809,0.0002581024,0.000905242,0.0003861101,0.4283153,0.07699903,0.005618069,0.4182365,0.0002724636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.07908461,0.0004164883,0.4921373,0.000456212,0.00156155,0.002265591,0.03057725,0.2592065,0.1342945],"genre_scores_gemma":[0.4846521,0.0002435368,0.340153,0.0007712747,0.0002467372,0.001663521,0.03077182,0.004859215,0.1366388],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04725009,"threshold_uncertainty_score":0.1580673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06807572209057627,"score_gpt":0.3445953514350512,"score_spread":0.2765196293444749,"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."}}