{"id":"W139394946","doi":"10.5281/zenodo.1177468","title":"Code Livecode Live, Or Livecode Embodied","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Touchpad; Laptop; Computer science; Accelerometer; Embodied cognition; Code (set theory); Interface (matter); Source code; Computer graphics (images); Gesture; Computer hardware; Human–computer interaction; Operating system; Programming language; Artificial intelligence","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004690633,0.0001699982,0.0001963502,0.0002202531,0.002650563,0.0006425288,0.002338918,0.0001030858,0.003269847],"category_scores_gemma":[0.0005546802,0.0001529588,0.00005630628,0.000589282,0.000171624,0.0004921072,0.001390219,0.0003242754,0.007326446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008666865,"about_ca_system_score_gemma":0.000005700071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005453259,"about_ca_topic_score_gemma":0.000001698621,"domain_scores_codex":[0.9982659,0.0001944706,0.000248548,0.0005409649,0.0002892778,0.0004608563],"domain_scores_gemma":[0.9986278,0.00004126538,0.00009775439,0.0007561305,0.0003433736,0.0001336381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000850463,0.0003402953,0.00000543512,0.00002848691,0.00007580195,0.0001133086,0.008408834,0.00003129585,0.0007179729,0.2334678,0.3930641,0.3636617],"study_design_scores_gemma":[0.0004438878,0.0005556815,0.0009618065,0.00002344819,0.000008372262,0.000153498,0.000259498,0.00179543,0.0001590985,0.00608409,0.9893082,0.0002469411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02476461,0.0005695223,0.3171679,0.01524946,0.0005380206,0.001074393,0.0001416901,0.01015275,0.6303416],"genre_scores_gemma":[0.9832888,0.0003681869,0.00882652,0.001688407,0.0001689603,8.082306e-8,0.0001286748,0.0004755869,0.005054812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9585242,"threshold_uncertainty_score":0.9986479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04421356671832748,"score_gpt":0.2570148284903418,"score_spread":0.2128012617720143,"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."}}