{"id":"W4403810017","doi":"10.48550/arxiv.2409.19000","title":"Pickleball Flight Dynamics","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Guidance and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flight dynamics; Dynamics (music); Aerospace engineering; Physics; Engineering; Aerodynamics; Acoustics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001788425,0.0007914983,0.0006028693,0.0004200661,0.001073958,0.001180102,0.001147297,0.0008982362,0.01332306],"category_scores_gemma":[0.0008458513,0.0001818722,0.0004832584,0.0002368942,0.0008319324,0.001306001,0.001562822,0.0009811064,0.001518471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000900025,"about_ca_system_score_gemma":0.0006610835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02542575,"about_ca_topic_score_gemma":0.01102279,"domain_scores_codex":[0.9997601,0.00004199986,0.000006882638,0.000053328,0.00008332246,0.00005441337],"domain_scores_gemma":[0.9998783,0.0000286104,0.00002517583,0.00001127661,0.00002588884,0.00003084858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005407847,0.0001307199,0.006879189,0.0002979422,0.00006460484,0.0009790759,0.0008819073,0.4697213,0.01169098,0.4583564,0.00837256,0.04208457],"study_design_scores_gemma":[0.000052134,0.0002295073,0.004423279,0.00007898219,0.00002336514,0.0005441447,0.0005935654,0.8915663,0.001359341,0.06638373,0.03466957,0.00007617232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3419377,0.002359927,0.3723162,0.00158871,0.0004455333,0.000191404,0.001305991,0.000253674,0.2796009],"genre_scores_gemma":[0.9403996,0.0007721249,0.01167654,0.0001627485,0.00006787559,0.00007986578,0.0005521395,0.00004494473,0.0462442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02542575,"threshold_uncertainty_score":0.05055553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521600206207486,"score_gpt":0.1441724055567916,"score_spread":0.1189564034947167,"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."}}