{"id":"W4239419627","doi":"10.1109/tac.2018.2863125","title":"IEEE Transactions on Multimedia","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Multimedia","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005190534,0.0002289408,0.0003231866,0.0003733083,0.001278735,0.00006496309,0.0005870225,0.0003124399,0.005760805],"category_scores_gemma":[0.0000419249,0.0002274996,0.0002088651,0.000511176,0.0008620852,0.0001598252,2.609507e-7,0.0004066188,0.002543034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953926,"about_ca_system_score_gemma":0.0002070351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005979359,"about_ca_topic_score_gemma":0.004313045,"domain_scores_codex":[0.9978775,0.0004054015,0.0004236865,0.0003303905,0.0004772956,0.0004857481],"domain_scores_gemma":[0.9977044,0.0009996525,0.0001303877,0.0007692471,0.0001638176,0.0002325158],"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":[0.00008224737,0.0009824905,0.000004223062,0.00001098278,0.0001881845,0.000003727334,0.009044311,0.0003506373,0.001717039,0.0006135924,0.000722324,0.9862803],"study_design_scores_gemma":[0.01142933,0.001404355,0.000352583,0.0002448953,0.0005267454,0.00001559892,0.004827804,0.866298,0.04085715,0.001403692,0.07115853,0.001481287],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009771356,0.00001528494,0.9688787,0.006937689,0.002203266,0.0009525587,0.00004943903,0.001413369,0.009778307],"genre_scores_gemma":[0.9930148,0.00005825643,0.002839928,0.001129026,0.000114056,0.0002974466,7.987944e-7,0.00003052473,0.002515198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.984799,"threshold_uncertainty_score":0.9982336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375362871846229,"score_gpt":0.3074990441017817,"score_spread":0.2837454153833195,"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."}}