{"id":"W1997650750","doi":"10.1145/2468356.2468835","title":"KAVA","year":2013,"lang":"en","type":"article","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Kava; Restructuring; Identity (music); Computer science; Political science; Aesthetics; Medicine; Traditional medicine; Law; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002502247,0.0003485426,0.0002877108,0.0008520249,0.005296069,0.003078194,0.000898827,0.000763901,0.1426334],"category_scores_gemma":[0.0008857484,0.0001767859,0.0002026864,0.001122381,0.0009005097,0.0007598972,0.001381459,0.0005856974,0.02368132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008398538,"about_ca_system_score_gemma":0.01195091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7538374,"about_ca_topic_score_gemma":0.898185,"domain_scores_codex":[0.9996697,0.00003300517,0.000006937354,0.00008044622,0.00009283573,0.0001171574],"domain_scores_gemma":[0.9994131,0.00003433088,0.00002876097,0.00004349044,0.0003233494,0.0001570181],"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":[0.0003659928,0.0001344369,0.03403883,0.0006700998,0.00004246695,0.002102326,0.006218003,0.001109052,0.007262237,0.06013682,0.5303174,0.3576023],"study_design_scores_gemma":[0.00001032638,0.00002174074,0.02458797,0.0001105765,0.000007009747,0.0003802021,0.002868755,0.0003289516,0.0004782227,0.00103593,0.970146,0.00002438898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07539395,0.003805898,0.003615206,0.006461921,0.00103567,0.0002679663,0.01112034,0.001648426,0.8966507],"genre_scores_gemma":[0.2488793,0.001499673,0.003066671,0.00104259,0.0000713866,0.0001140927,0.005080039,0.0003325405,0.7399138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8573666,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1936049507750938,"score_gpt":0.2711985119657995,"score_spread":0.07759356119070565,"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."}}