{"id":"W2998237518","doi":"10.20380/gi2018.12","title":"It's the Gesture That (re)Counts: Annotating While Running to Recall Affective Experience","year":2018,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Annotation; Recall; Computer science; Gesture; Visualization; Multimedia; Artificial intelligence; Cognitive psychology; 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":[0.001086292,0.0004788885,0.0002736507,0.0003418718,0.000321432,0.0008933665,0.0004378473,0.0005352153,0.00255004],"category_scores_gemma":[0.0114961,0.0001646244,0.0002837543,0.0002259593,0.0004533598,0.0008073697,0.0006590547,0.0003512581,0.0005156693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422524,"about_ca_system_score_gemma":0.0001785658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006915841,"about_ca_topic_score_gemma":0.002183026,"domain_scores_codex":[0.9994183,0.0002318663,0.00003809263,0.0001574745,0.0001054809,0.00004880357],"domain_scores_gemma":[0.9941929,0.003796965,0.0007349281,0.000556072,0.0005027277,0.0002163756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003677262,0.0008096318,0.08701739,0.00215201,0.0002053061,0.0007509309,0.04506891,0.001792916,0.431287,0.0005242965,0.002651644,0.4240628],"study_design_scores_gemma":[0.0002215518,0.007762223,0.7737136,0.000892885,0.0009101827,0.001918889,0.02874953,0.01532645,0.1392475,0.002670384,0.02820133,0.0003853632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759954,0.0003460276,0.02014402,0.0001181934,0.00004406814,0.00007197793,0.0001241825,0.0002514422,0.002904629],"genre_scores_gemma":[0.9594458,0.0003178576,0.03752906,0.0001472494,0.0000440303,0.0001749872,0.000173483,0.0001202926,0.002047288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00255004,"threshold_uncertainty_score":0.008530736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0616332551326987,"score_gpt":0.3041881070239626,"score_spread":0.2425548518912639,"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."}}