{"id":"W4320801841","doi":"10.1109/iccst55948.2022.10040275","title":"Plane Detection and Product Trail using Augmented Reality","year":2022,"lang":"en","type":"article","venue":"2022 1st International Conference on Computational Science and Technology (ICCST)","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Augmented reality; Computer science; Purchasing; Product (mathematics); Android (operating system); Task (project management); Human–computer interaction; Focus (optics); Multimedia; Engineering; Business; Marketing","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":[0.0004313313,0.001643757,0.0008664032,0.004068487,0.0003968813,0.002755609,0.0009756618,0.001193529,0.005006019],"category_scores_gemma":[0.001024396,0.0009017797,0.001308808,0.002224043,0.0003673742,0.001587036,0.001837247,0.0009574271,0.003494185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003620322,"about_ca_system_score_gemma":0.0006073635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215899,"about_ca_topic_score_gemma":0.002977986,"domain_scores_codex":[0.9990153,0.00008291309,0.00004009086,0.0002249019,0.0004882786,0.0001484695],"domain_scores_gemma":[0.9994678,0.00006868003,0.00007925372,0.0001381144,0.0002069685,0.00003919836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009127421,0.0002451449,0.006550594,0.0005988624,0.0001901222,0.0009058334,0.0004563012,0.0222878,0.1511245,0.003886632,0.008967439,0.8038741],"study_design_scores_gemma":[0.0001195391,0.0008048931,0.02527491,0.0002248046,0.0003220521,0.002658484,0.0006100115,0.7840675,0.1324132,0.005960278,0.04729958,0.0002447393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08470991,0.001662743,0.8888329,0.0002577049,0.0003833301,0.0002170103,0.001059518,0.007728287,0.01514867],"genre_scores_gemma":[0.4953901,0.002187232,0.4882547,0.0001788953,0.0001144233,0.0001523273,0.00261032,0.0004454999,0.01066645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005006019,"threshold_uncertainty_score":0.01674682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764932331961746,"score_gpt":0.3077332960421313,"score_spread":0.2600839727225139,"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."}}