{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008657716,0.0001561088,0.000141617,0.000771179,0.001279814,0.0002040148,0.001135216,0.00004539207,0.00007682265],"category_scores_gemma":[0.0001155441,0.0001658223,0.00001951054,0.001666453,0.0007359173,0.0004674892,0.0009931177,0.0003850913,0.000006403041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645696,"about_ca_system_score_gemma":0.000446934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008275356,"about_ca_topic_score_gemma":0.0000238359,"domain_scores_codex":[0.9974775,0.00006261542,0.0002859385,0.0008376837,0.001069898,0.0002663157],"domain_scores_gemma":[0.9988353,0.00006962075,0.0001945802,0.0003100637,0.0005003605,0.00009008413],"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":[0.00001749577,0.0001501207,0.0003372202,0.000004592321,0.00002734736,0.000006795769,0.0001608153,0.003748635,0.02253399,0.9118657,0.0001369158,0.06101036],"study_design_scores_gemma":[0.0004149695,0.0001827228,0.003724687,0.00001082289,0.000007609263,0.0002903602,0.0003670038,0.8464037,0.002352727,0.1436028,0.002398517,0.0002440727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4238143,0.0001012799,0.5056773,0.06228951,0.001032684,0.0009638423,0.000178403,0.0006674884,0.005275185],"genre_scores_gemma":[0.9945161,0.00001507802,0.004854796,0.0003618055,0.00002922451,0.0001070769,0.00002759164,0.000005752326,0.00008262589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8426551,"threshold_uncertainty_score":0.9843426,"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."}}