{"id":"W1832113944","doi":"10.24908/pceea.v0i0.3807","title":"LOW COST DATABASE DESIGN FOR 3D VIEWING AND ACCESS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Database; Software; Coding (social sciences); Software engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001767562,0.001010615,0.001076869,0.00184322,0.0006170977,0.002947079,0.002848686,0.0008403627,0.08402688],"category_scores_gemma":[0.00567133,0.0009972616,0.0006861603,0.002219482,0.0002983357,0.001809674,0.001690255,0.001060263,0.03655543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005183837,"about_ca_system_score_gemma":0.0009127894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922964,"about_ca_topic_score_gemma":0.001582331,"domain_scores_codex":[0.9979565,0.0002832061,0.0002789921,0.0003288396,0.0009847409,0.0001676348],"domain_scores_gemma":[0.9959316,0.0006685803,0.0001434907,0.001107082,0.001940607,0.0002087053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001185798,0.0002866929,0.001911092,0.001036472,0.0001207867,0.000684123,0.0006116809,0.004769124,0.06518873,0.02519597,0.255547,0.6434626],"study_design_scores_gemma":[0.000526639,0.0004140897,0.003903065,0.0001789586,0.0001456499,0.002130322,0.0002489931,0.07460766,0.094942,0.008428394,0.8142473,0.0002270397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003886451,0.0002946487,0.9092797,0.0001762827,0.0001574661,0.000990657,0.003330518,0.0628954,0.01898881],"genre_scores_gemma":[0.0823807,0.000759989,0.8124402,0.0006027333,0.0001748524,0.00351925,0.01798491,0.01684842,0.06528896],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08402688,"threshold_uncertainty_score":0.2810979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573644837131726,"score_gpt":0.2190099174993813,"score_spread":0.193273469128064,"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."}}