{"id":"W6912750488","doi":"10.5683/sp3/oezya2","title":"Tip 9 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":[0.001709858,0.002691529,0.001428706,0.002776993,0.001098114,0.002612551,0.003353847,0.002973894,0.08931643],"category_scores_gemma":[0.01267753,0.0008389886,0.001699373,0.004863213,0.0006541387,0.001794475,0.002296377,0.0026571,0.1508064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168383,"about_ca_system_score_gemma":0.002190593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919626,"about_ca_topic_score_gemma":0.03657039,"domain_scores_codex":[0.9977957,0.0004249977,0.0002303809,0.0006979384,0.0005781181,0.000272872],"domain_scores_gemma":[0.9965558,0.0009334302,0.0001805529,0.001014899,0.0009895073,0.0003257803],"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":[0.00008159986,0.00003483404,0.0003879116,0.0002350566,0.00001595123,0.00001860045,0.0000164724,0.0003177187,0.00008475177,0.0003142346,0.9964568,0.002035895],"study_design_scores_gemma":[0.0005794277,0.00006367975,0.003428971,0.000229585,0.00003851533,0.0001010526,0.000137283,0.001758773,0.0007441809,0.002974582,0.9898921,0.0000518399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003776505,0.00005644593,0.0002472605,0.0001226333,0.00006775676,0.00003062915,0.9952991,0.002020369,0.001778051],"genre_scores_gemma":[0.0006535612,0.00002351063,0.0006235581,0.00006601401,0.000009963004,0.0001044907,0.9973773,0.0002958624,0.0008457364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08931643,"threshold_uncertainty_score":0.2987932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06728350410534058,"score_gpt":0.3189686644840528,"score_spread":0.2516851603787122,"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."}}