{"id":"W4318241910","doi":"10.1145/3544548.3581024","title":"AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"3d printed; Computer science; 3D printing; 3d printer; Usability; Reflection (computer programming); Reliability (semiconductor); Polygon mesh; ENCODE; Computer graphics (images); Artificial intelligence; Computer vision; Computer hardware; Materials science; Human–computer interaction; Engineering; Mechanical engineering; Power (physics)","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":[],"category_scores_codex":[0.0001060934,0.0004836444,0.0004182567,0.0001942922,0.00006062875,0.0000958855,0.0005119313,0.0005517869,0.00006864939],"category_scores_gemma":[0.000181864,0.000481979,0.0001140053,0.0003364101,0.00009398235,0.0001013164,0.0007425582,0.001498079,0.0009728451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750346,"about_ca_system_score_gemma":0.0000181514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003416139,"about_ca_topic_score_gemma":0.00001975283,"domain_scores_codex":[0.9981978,0.00001953252,0.0003696979,0.000650442,0.0002643267,0.0004982161],"domain_scores_gemma":[0.9986134,0.0001089205,0.00006098986,0.001065943,0.00007854159,0.00007218553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001998457,0.0000436946,0.0001130425,0.0002605799,0.0001404998,0.00004369869,0.00004175008,0.9535009,0.02746957,0.00529138,0.003683707,0.009391148],"study_design_scores_gemma":[0.0003492234,0.0001432157,0.0005995577,0.0003300455,0.0000561703,0.00001195116,0.00009624159,0.790301,0.1205024,0.07987328,0.006343128,0.001393809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02616663,0.0000831076,0.9310899,0.000549463,0.00215637,0.0005308423,0.00001909993,0.02930579,0.01009881],"genre_scores_gemma":[0.49619,0.0005118622,0.4985763,0.00007045755,0.0001347317,0.0000895303,0.00007163341,0.0003412538,0.004014332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4700233,"threshold_uncertainty_score":0.999805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03719271822154837,"score_gpt":0.2955614062826576,"score_spread":0.2583686880611092,"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."}}