{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002981221,0.0005785013,0.000363773,0.00063367,0.0002050961,0.001126265,0.0008262773,0.0007775541,0.003312719],"category_scores_gemma":[0.0007652796,0.0003538369,0.0004127106,0.0005665462,0.0007153487,0.001115524,0.0008273689,0.0005048563,0.002007373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003452833,"about_ca_system_score_gemma":0.0002458308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002741939,"about_ca_topic_score_gemma":0.0004386709,"domain_scores_codex":[0.9995096,0.00005589378,0.00002005844,0.00008532689,0.000281837,0.00004736583],"domain_scores_gemma":[0.9993393,0.0001878805,0.0001313465,0.0002368109,0.0000743175,0.00003032058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002722084,0.0000827168,0.001350558,0.0003060427,0.00002725648,0.0005821028,0.0003256041,0.007842886,0.7963543,0.01466442,0.004823543,0.1733685],"study_design_scores_gemma":[0.00005222025,0.0003737931,0.001442568,0.00003928292,0.00002676648,0.001141522,0.0001110817,0.09909536,0.8492658,0.004411333,0.04391868,0.0001216118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1599931,0.001488787,0.8033069,0.0004620375,0.0005125288,0.0001491974,0.0004196973,0.01479806,0.0188697],"genre_scores_gemma":[0.6419664,0.0006370114,0.3440052,0.0003931224,0.00008608353,0.0001158646,0.0003528544,0.001047899,0.01139554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003312719,"threshold_uncertainty_score":0.01108211,"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."}}