{"id":"W6913271909","doi":"10.5683/sp3/kpulrh","title":"Tip 3 Exercise Data and Solution","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Noise (video); Physical exercise; Work (physics); Data acquisition","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":[0.001778572,0.002589082,0.001388246,0.002736876,0.001133511,0.002620413,0.003196636,0.002933614,0.09145097],"category_scores_gemma":[0.01323358,0.0008059503,0.001800641,0.00486229,0.0006647434,0.001746627,0.002336684,0.002681248,0.1444891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195775,"about_ca_system_score_gemma":0.002266105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033241,"about_ca_topic_score_gemma":0.03971212,"domain_scores_codex":[0.9978641,0.0004156664,0.0002131545,0.0006767928,0.0005628967,0.0002674072],"domain_scores_gemma":[0.9963202,0.001036681,0.0001826248,0.001076895,0.001060522,0.0003229601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008048911,0.00003343616,0.0004183188,0.0002269653,0.00001640518,0.00001877793,0.00001812324,0.0003267986,0.00009100611,0.000342003,0.996424,0.002003581],"study_design_scores_gemma":[0.0005907929,0.00005794048,0.003411799,0.000225109,0.00004123465,0.0001055815,0.0001459282,0.001807768,0.0007951405,0.003245217,0.9895228,0.0000507612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004111186,0.00005585832,0.0002824712,0.0001367283,0.00006644622,0.00003164377,0.9949509,0.002174095,0.001890632],"genre_scores_gemma":[0.0007418788,0.00002369154,0.0007243045,0.00007895048,0.00001050068,0.0001189571,0.9970033,0.0003703366,0.0009282324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09145097,"threshold_uncertainty_score":0.305934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06726725513953044,"score_gpt":0.318721434933407,"score_spread":0.2514541797938765,"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."}}