{"id":"W4206448162","doi":"10.1017/9781108650151.009","title":"Eshkol-Wachman Movement Notation and Descriptive Analysis","year":2021,"lang":"en","type":"other","venue":"","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Notation; Movement (music); Computer science; Communication; Psychology; Mathematics; Art; Arithmetic; Aesthetics","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":[0.003424159,0.001647808,0.0007723409,0.005790309,0.001492893,0.004194758,0.001949317,0.0009281381,0.1485093],"category_scores_gemma":[0.01067488,0.0005833569,0.0009544884,0.004835097,0.002105874,0.005484784,0.002634991,0.002623579,0.09429563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381848,"about_ca_system_score_gemma":0.002586063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190363,"about_ca_topic_score_gemma":0.003817265,"domain_scores_codex":[0.9977469,0.000717469,0.0004650918,0.0003841615,0.0005555858,0.0001308717],"domain_scores_gemma":[0.9962441,0.001307753,0.0003177051,0.0008206376,0.001168166,0.0001417353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001488998,0.00004288166,0.0003610187,0.0007388981,0.00001721206,0.0001615611,0.0009544633,0.0005183535,0.001684719,0.5258704,0.2911336,0.178368],"study_design_scores_gemma":[0.00001444474,0.00002714684,0.0005698577,0.0003073575,0.00001379299,0.0003448159,0.0003163315,0.001696669,0.002067521,0.1340105,0.8605909,0.00004077606],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002324829,0.002442243,0.6490241,0.002774541,0.00207379,0.0006150589,0.02973202,0.0114223,0.2995912],"genre_scores_gemma":[0.0484002,0.005224246,0.6611279,0.0008145644,0.0008190419,0.002149582,0.04484934,0.01026261,0.2263526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1485093,"threshold_uncertainty_score":0.4968132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233801495747721,"score_gpt":0.2521830559626176,"score_spread":0.2198450410051404,"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."}}