{"id":"W1881792215","doi":"10.24908/pceea.v0i0.3735","title":"EVALUATING THE IMPACT OF TABLET COMPUTERS ON DESIGN ENGINEERING","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada; University of Ontario Institute of Technology","keywords":"Computer science; Laptop; Context (archaeology); Software engineering; Mechatronics; Engineering management; Software; Engineering; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002080327,0.0006433725,0.0004214058,0.001462607,0.0003680847,0.001651626,0.0006728955,0.0005964223,0.005592518],"category_scores_gemma":[0.02000866,0.0002428262,0.0004287919,0.001348828,0.0003520303,0.001084053,0.001173648,0.0004119977,0.0008393567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007859355,"about_ca_system_score_gemma":0.000538003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860304,"about_ca_topic_score_gemma":0.004041982,"domain_scores_codex":[0.9964036,0.001435402,0.000261134,0.0002656225,0.00145251,0.0001818234],"domain_scores_gemma":[0.9753939,0.01648847,0.001328991,0.00222264,0.003346613,0.001219261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01678623,0.006553197,0.1159092,0.002468989,0.0003241304,0.001001596,0.003051073,0.04187983,0.03925264,0.001593531,0.005394035,0.7657856],"study_design_scores_gemma":[0.002739469,0.07012538,0.6858828,0.0008007986,0.0008951416,0.001122938,0.007073574,0.09861231,0.07046215,0.002079951,0.05983926,0.00036617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813226,0.0005038562,0.003752082,0.0001140856,0.00003493398,0.0005983945,0.0005427283,0.0002752407,0.01285607],"genre_scores_gemma":[0.9762257,0.0007896055,0.01738519,0.00005218974,0.00002273086,0.0003517688,0.0007219909,0.00006432955,0.004386549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005592518,"threshold_uncertainty_score":0.01870888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04536007975287367,"score_gpt":0.2779964745055724,"score_spread":0.2326363947526987,"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."}}