{"id":"W2147708600","doi":"10.1109/icpr.2002.1047398","title":"A comparative study of two velocity profile models for rapid stroke analysis","year":2003,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Jerk; Mean squared error; Computer science; Log-normal distribution; Stroke (engine); Minimum mean square error; Statistics; Mathematics; Artificial intelligence; Pattern recognition (psychology); Physics; Acceleration","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000293808,0.00008784654,0.0003087586,0.0001152621,0.0001008823,0.00005251539,0.0002988604,0.00001549763,0.00004475332],"category_scores_gemma":[0.000008769752,0.0000690321,0.0000838152,0.0006763266,0.00002084631,0.0003138877,0.00005024215,0.00004019861,0.000001607477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001206015,"about_ca_system_score_gemma":0.00006330312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003437465,"about_ca_topic_score_gemma":0.0000480772,"domain_scores_codex":[0.9991069,0.00006596259,0.0002116855,0.000279048,0.0001847582,0.0001515903],"domain_scores_gemma":[0.9993319,0.00006836392,0.0001165131,0.0002800362,0.0001623163,0.00004087023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009902549,0.008052053,0.009321566,0.0001943807,0.005914163,0.000007082283,0.1144142,0.2418843,0.003704067,0.5366197,0.007892075,0.07189743],"study_design_scores_gemma":[0.0008787956,0.0001955926,0.0002448297,0.000002707892,0.0001066916,2.990849e-7,0.001085063,0.9820119,0.01170098,0.003584009,0.00006753443,0.0001216308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1630115,0.00002656605,0.8250721,0.00002385686,0.00002615541,0.0002906617,0.000002877637,0.00003132323,0.01151501],"genre_scores_gemma":[0.8411161,2.902384e-7,0.1582893,0.00006786752,0.000005800435,0.00003419313,7.680916e-7,0.000001819642,0.0004838411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7401276,"threshold_uncertainty_score":0.2815047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07638527678656395,"score_gpt":0.3276008743354072,"score_spread":0.2512155975488433,"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."}}