{"id":"W2914399902","doi":"10.1109/tvcg.2019.2896895","title":"Micrography QR Codes","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Ministry of Science and Technology, Taiwan","keywords":"Micrography; Computer science; Decoding methods; Artificial intelligence; Computer vision; Embedding; Algorithm; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.00008915864,0.0001518493,0.0001417127,0.0004266378,0.0001988136,0.000198272,0.0003715962,0.0001063313,0.00001109981],"category_scores_gemma":[3.931914e-7,0.0001456786,0.00007978913,0.001032114,0.00007305875,0.000270585,0.000006933559,0.0001332533,0.00003733438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008640096,"about_ca_system_score_gemma":0.00001637759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009200314,"about_ca_topic_score_gemma":0.000006269592,"domain_scores_codex":[0.9990478,0.00003376797,0.0001867977,0.0003956162,0.0001661094,0.0001699264],"domain_scores_gemma":[0.9992584,0.00005874257,0.00005647271,0.0004808595,0.00008947353,0.00005605261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002833218,0.0001416307,0.0003043895,0.00001406304,0.00002718537,6.006513e-7,0.0001421436,0.0001031966,0.0001039673,0.9749293,0.0001307652,0.02409991],"study_design_scores_gemma":[0.000564666,0.0003557823,0.001354771,0.00003475408,0.00001513314,0.00002248784,0.0000378019,0.9719889,0.008497205,0.006576856,0.01016267,0.0003890386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0412634,0.00006055884,0.9573177,0.00012106,0.0003001985,0.0002188685,0.000004700799,0.0006042037,0.0001093597],"genre_scores_gemma":[0.9924701,0.000362867,0.006189636,0.0008631346,0.00001253343,0.00003283161,0.000002989271,0.00001136188,0.00005453629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9718856,"threshold_uncertainty_score":0.5940601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226558974203053,"score_gpt":0.2499978649221933,"score_spread":0.2377322751801628,"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."}}