{"id":"W4386846847","doi":"10.1007/s12652-023-04698-3","title":"Guest Editorial: machine learning for visual information processing & understanding","year":2023,"lang":"en","type":"editorial","venue":"Journal of Ambient Intelligence and Humanized Computing","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Computational intelligence; Artificial intelligence; Data science; Cognitive science; 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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002383386,0.0003090969,0.0005786195,0.0007024902,0.0006650472,0.001897629,0.0008568901,0.0003187195,0.00000237565],"category_scores_gemma":[0.00245406,0.0002866385,0.0001735354,0.0004966155,0.00005916229,0.001553737,0.0004008098,0.0009807108,0.00001398328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467457,"about_ca_system_score_gemma":0.0003619557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001250876,"about_ca_topic_score_gemma":0.00001064442,"domain_scores_codex":[0.9966815,0.00008900111,0.001380205,0.0002819361,0.001187778,0.000379547],"domain_scores_gemma":[0.9948421,0.001274888,0.002155837,0.0001605553,0.001416565,0.0001500348],"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":[0.0000604714,0.00005428363,0.000009572235,0.0005074855,0.00008915633,0.000004611234,0.003027583,0.002045637,0.00001082609,0.002746365,0.9813445,0.01009955],"study_design_scores_gemma":[0.0003438692,0.0003197952,3.686561e-7,0.0008431313,0.0000595396,0.000006544157,0.0005092474,0.1990613,0.00003631103,0.001404399,0.7971218,0.0002936955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.000008561451,0.00008811671,0.5208609,0.00002794182,0.4788532,0.00007970413,0.000005621914,0.00006322394,0.00001276949],"genre_scores_gemma":[0.001867815,0.0005566551,0.006960226,0.00004047008,0.9901487,0.000001617812,0.0002695993,0.00004120661,0.0001136901],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5139006,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06306143590303945,"score_gpt":0.3546785064659264,"score_spread":0.2916170705628869,"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."}}