{"id":"W6891602650","doi":"10.48448/4xrw-rg22","title":"MagiCapture: High-Resolution Multi-Concept Portrait Customization","year":2024,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Personalization; Portrait; Artifact (error); Pipeline (software); Identity (music); Task (project management); Quality (philosophy); Ground truth","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001035777,0.0006546617,0.0005103373,0.002146788,0.0001942353,0.0004147483,0.001225117,0.0005280811,0.00434533],"category_scores_gemma":[0.0002743396,0.0005843379,0.000122626,0.003295224,0.002459658,0.0004193917,0.0003447263,0.0007041106,0.03582022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007320531,"about_ca_system_score_gemma":0.001003326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115257,"about_ca_topic_score_gemma":0.0009799107,"domain_scores_codex":[0.9950016,0.0000877921,0.0005646852,0.001728608,0.001665841,0.0009514961],"domain_scores_gemma":[0.9978791,0.00002457258,0.0005119233,0.0009971845,0.0002524164,0.000334798],"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":[0.000007398539,0.0001662448,0.000007652212,0.00006099506,0.00004269856,0.00004421618,0.0002070611,0.0009350531,0.002699885,0.01128785,0.9810636,0.003477355],"study_design_scores_gemma":[0.0009268591,0.00006473015,0.0000766639,0.0004352717,0.0001945381,0.00004027642,0.0001599589,0.06384683,0.0002884154,0.0006098539,0.9322945,0.001062063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006430776,0.01385852,0.0480762,0.001316072,0.01111638,0.003328394,0.002959143,0.009205273,0.9100757],"genre_scores_gemma":[0.03153839,0.00009869147,0.05492479,0.0003935419,0.001853418,0.00005408089,0.0009916621,0.002376746,0.9077687],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06291177,"threshold_uncertainty_score":0.9996608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215709962695352,"score_gpt":0.2934809337421486,"score_spread":0.2719099374726134,"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."}}