{"id":"W4393708548","doi":"10.5281/zenodo.3994998","title":"Drum and Percussion Kits","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Percussion; Drum; Computer science; Engineering; Acoustics; Physics; Mechanical engineering","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":[0.0007617293,0.003894773,0.001556492,0.003744111,0.0009867074,0.002321654,0.003200433,0.002969114,0.04567496],"category_scores_gemma":[0.002765851,0.0007618793,0.001566371,0.004712183,0.0005300178,0.001724294,0.002298285,0.001995039,0.1105176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326956,"about_ca_system_score_gemma":0.001412511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02189169,"about_ca_topic_score_gemma":0.05045922,"domain_scores_codex":[0.9984313,0.0002291962,0.000135772,0.0004686144,0.000515365,0.0002197828],"domain_scores_gemma":[0.99874,0.0001838187,0.0001133534,0.0003314762,0.0004319284,0.0001994431],"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":[0.0002049168,0.00006792647,0.001125584,0.0008251423,0.00003502452,0.00005553104,0.00004772761,0.0005165171,0.0006072345,0.0005821176,0.988728,0.007204098],"study_design_scores_gemma":[0.0001717977,0.00005409881,0.008266551,0.0002255571,0.00003026068,0.0001642035,0.0001924514,0.001596736,0.001500814,0.001033063,0.9867046,0.00005991849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009684037,0.0001433099,0.0003627772,0.00006966172,0.00006915034,0.00002481867,0.9945711,0.001782922,0.002007789],"genre_scores_gemma":[0.0007530551,0.00004354402,0.0005577726,0.00003758575,0.000008386475,0.00004133132,0.9972956,0.0001615129,0.001101167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04567496,"threshold_uncertainty_score":0.1527979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354372781382471,"score_gpt":0.3035945723375069,"score_spread":0.2600508445236822,"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."}}