{"id":"W2982593754","doi":"","title":"Towards a Mappable Database of Emergent Gestural Meaning.","year":2016,"lang":"en","type":"article","venue":"New Interfaces for Musical Expression","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Meaning (existential); Natural language processing; Database; Artificial intelligence; Psychology","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":[0.001629531,0.0006655047,0.001495034,0.003260321,0.0009623409,0.006924705,0.003084581,0.001322174,0.01186768],"category_scores_gemma":[0.01187267,0.0008281363,0.001309467,0.003123112,0.001403283,0.01231946,0.006327636,0.001799501,0.006214571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000738355,"about_ca_system_score_gemma":0.001146209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002583604,"about_ca_topic_score_gemma":0.003427735,"domain_scores_codex":[0.9980716,0.000289287,0.000343858,0.0006129691,0.0005604071,0.0001218846],"domain_scores_gemma":[0.9956748,0.001053681,0.0001853065,0.001995054,0.0008791563,0.0002120258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005805516,0.0002143601,0.002870716,0.001019552,0.0001713595,0.0007648583,0.003157307,0.007866275,0.02350591,0.3490831,0.03003744,0.5807286],"study_design_scores_gemma":[0.00007219984,0.0001634769,0.001639457,0.0004341574,0.0001633557,0.0006694463,0.001985083,0.08689555,0.02192568,0.6707194,0.2152368,0.00009541147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01417084,0.001321626,0.9597649,0.0006089705,0.0002147766,0.0001877382,0.007431263,0.008289572,0.008010342],"genre_scores_gemma":[0.2063932,0.002288494,0.7577864,0.0005248639,0.0001640017,0.0006444101,0.01889708,0.00138847,0.01191321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01186768,"threshold_uncertainty_score":0.03970134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246953234642012,"score_gpt":0.2804237388177854,"score_spread":0.2479542064713653,"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."}}