{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450402,0.0001461348,0.0002341913,0.00006639043,0.0001018618,0.00001769087,0.00081494,0.00009813527,0.0001098776],"category_scores_gemma":[0.0002152029,0.00008193518,0.00008625451,0.0001123362,0.0001034778,0.0003261861,0.000788511,0.00008318939,0.00001666298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002296188,"about_ca_system_score_gemma":0.00004121978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003847688,"about_ca_topic_score_gemma":0.00001683445,"domain_scores_codex":[0.9988438,0.00002631616,0.0002697202,0.0003888441,0.0002027417,0.000268558],"domain_scores_gemma":[0.9990695,0.0001226633,0.0001144927,0.00053584,0.00007246364,0.00008507879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001273559,0.0001229495,0.00009334596,0.00005350604,0.00004187995,0.00000308665,0.002530093,0.000002855461,0.6190146,0.08836766,0.1484708,0.1411719],"study_design_scores_gemma":[0.001523737,0.0005062521,0.0002744104,0.0005975195,0.0000158681,0.000006356005,0.0001291343,0.0009349011,0.7966457,0.03261016,0.1664455,0.0003104605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1774964,0.0002673777,0.8144023,0.004542241,0.001041224,0.0002529878,0.00002018403,0.0002171438,0.001760119],"genre_scores_gemma":[0.9482836,0.00003837842,0.04987976,0.0001276998,0.00009647295,0.00002975186,0.000001502207,0.000007663809,0.001535214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7707871,"threshold_uncertainty_score":0.334122,"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."}}