{"id":"W6913051575","doi":"10.5683/sp3/epsy8u","title":"Tip 1 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); Measure (data warehouse)","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":[0.001608951,0.002772144,0.001396257,0.003012378,0.001115386,0.00210902,0.002957911,0.002670347,0.07104391],"category_scores_gemma":[0.01029584,0.0006560502,0.001563125,0.004631962,0.0006108589,0.001583256,0.002285575,0.00244082,0.1153814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243709,"about_ca_system_score_gemma":0.002325158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988006,"about_ca_topic_score_gemma":0.04370315,"domain_scores_codex":[0.9980251,0.0003706581,0.0001909925,0.0005790624,0.0005719978,0.0002622621],"domain_scores_gemma":[0.9969874,0.0007621655,0.0001477112,0.0007851793,0.001014472,0.0003030098],"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":[0.00007809399,0.00004679791,0.0004242001,0.0002325908,0.00001541131,0.00002139543,0.00001565826,0.0003240674,0.0001002779,0.0002461364,0.9956325,0.002862854],"study_design_scores_gemma":[0.000554361,0.00008948114,0.005336981,0.0002460312,0.00004275741,0.0001394195,0.0001624315,0.002174574,0.0008620241,0.0025607,0.9877758,0.00005539566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008087992,0.0001211266,0.0003250221,0.0001915829,0.0001141157,0.00005144977,0.993214,0.002306515,0.002867452],"genre_scores_gemma":[0.001003512,0.00003485728,0.0007102311,0.00007298498,0.00001432607,0.0001178601,0.9965996,0.0002382422,0.001208407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07104391,"threshold_uncertainty_score":0.2376655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06922896955686758,"score_gpt":0.3194920044495591,"score_spread":0.2502630348926915,"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."}}