{"id":"W4404960182","doi":"10.3390/s24237632","title":"Radar Sensor Data Fitting for Accurate Linear Sprint Modelling","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; University of Victoria","funders":"","keywords":"Sprint; Radar; Computer science; Linear model; Remote sensing; Data mining; Telecommunications; Machine learning; Geography","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":[0.00448651,0.001213757,0.0008233112,0.0009843952,0.0003855978,0.001156648,0.0008921441,0.000843311,0.002142877],"category_scores_gemma":[0.01839703,0.0004296789,0.001115877,0.001198354,0.0003147373,0.00115995,0.0008191051,0.0009955278,0.0008922016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004847037,"about_ca_system_score_gemma":0.001202911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005002873,"about_ca_topic_score_gemma":0.006081219,"domain_scores_codex":[0.9982464,0.0006404114,0.000188623,0.0002708266,0.0005531823,0.0001005563],"domain_scores_gemma":[0.9945375,0.003267829,0.0004979487,0.0004428326,0.001194549,0.00005924438],"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":[0.001053887,0.0005710966,0.06130021,0.002127926,0.0004249207,0.0003216453,0.001631538,0.4491186,0.08959707,0.002296202,0.002458541,0.3890984],"study_design_scores_gemma":[0.00003198236,0.00059814,0.04058694,0.0002415801,0.0001216815,0.0002739161,0.0003740301,0.9155061,0.03486111,0.001288016,0.005999456,0.0001170713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2167101,0.0005247258,0.7781234,0.0001656127,0.00008840218,0.0003038244,0.0005146434,0.001238267,0.002331054],"genre_scores_gemma":[0.7673204,0.0004083464,0.2299773,0.00006455682,0.00001585954,0.0003382532,0.0007008262,0.0002387183,0.0009357499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005002873,"threshold_uncertainty_score":0.02372724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4893269840653866,"score_gpt":0.5202498308642206,"score_spread":0.030922846798834,"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."}}