{"id":"W2092022014","doi":"10.1075/rcl.10.1.03tor","title":"The role of sound-symbolic forms in Motion event descriptions","year":2012,"lang":"en","type":"article","venue":"Review of Cognitive Linguistics","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Event (particle physics); Motion (physics); Principal (computer security); Element (criminal law); Sound symbolism; Movement (music); Linguistics; Computer science; Sound (geography); Range (aeronautics); Meaning (existential); Epistemology; Artificial intelligence; Aesthetics; Philosophy; Law; Acoustics","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":[0.001886416,0.0007422334,0.0003227213,0.003085119,0.001759187,0.004966944,0.001120029,0.001239128,0.004868531],"category_scores_gemma":[0.006579762,0.0005412058,0.000535276,0.002683058,0.009290484,0.01436878,0.002975479,0.001474367,0.000623579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187342,"about_ca_system_score_gemma":0.001291609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003216733,"about_ca_topic_score_gemma":0.002940944,"domain_scores_codex":[0.9978987,0.001084032,0.0001825543,0.0002439498,0.0004544428,0.000136337],"domain_scores_gemma":[0.9972757,0.001458657,0.0004166882,0.000361869,0.0003704939,0.0001166485],"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":[0.00005274387,0.0000136666,0.0009770315,0.0003233498,0.00001173529,0.0005769111,0.03448179,0.0004314848,0.002589603,0.9223197,0.0009630056,0.03725905],"study_design_scores_gemma":[0.000054729,0.0001350357,0.005809322,0.0007055356,0.00007721745,0.002963974,0.04904292,0.007184647,0.004277427,0.71673,0.2128607,0.0001585921],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2558535,0.0137369,0.3380886,0.005678786,0.0005973193,0.0002426707,0.0006140667,0.0008326789,0.3843555],"genre_scores_gemma":[0.9493811,0.0023115,0.03905165,0.0002084846,0.0001486598,0.00007276616,0.0003178632,0.0002149263,0.008293012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004966944,"threshold_uncertainty_score":0.01628685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805830307128854,"score_gpt":0.3423452492061705,"score_spread":0.314286946134882,"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."}}