{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347812,0.0001096671,0.0001106194,0.0002519096,0.0003132537,0.00007736314,0.000779258,0.0001037884,0.00004267746],"category_scores_gemma":[0.0000850631,0.000103141,0.00007188453,0.000682293,0.00006885386,0.0003157839,0.00006835473,0.001405444,0.0003960742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729667,"about_ca_system_score_gemma":0.002312681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002661738,"about_ca_topic_score_gemma":0.0001740366,"domain_scores_codex":[0.9977898,0.00006705894,0.0002449482,0.0002260626,0.0001984514,0.001473701],"domain_scores_gemma":[0.9994672,0.00009368976,0.00009505963,0.0002085073,0.00007840097,0.00005715857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003343334,0.00003052761,0.00009658697,0.000001034819,0.00002827844,0.000007387775,0.0005151526,0.0002653482,0.0005964378,0.9180126,0.00005332439,0.08038997],"study_design_scores_gemma":[0.00003127926,0.0001045815,0.0002898755,0.000006744793,0.000006214073,0.0007556941,0.001611764,0.01227465,0.0004332821,0.9840397,0.000320423,0.0001257964],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4355232,0.0006045356,0.5544836,0.0081152,0.0007527536,0.0000650048,8.542942e-7,0.0002139557,0.000240867],"genre_scores_gemma":[0.994822,0.0008484237,0.00309017,0.000162537,0.0004294957,0.000003557381,0.000001863302,0.00001050562,0.0006314459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5592988,"threshold_uncertainty_score":0.6106033,"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."}}