{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077333,0.0001967807,0.0001852612,0.0002969389,0.000107196,0.00006464163,0.0004250782,0.000118486,0.0000770681],"category_scores_gemma":[0.001414776,0.000159426,0.0001289522,0.0006661334,0.00001344489,0.0002574624,0.00001431477,0.0003141571,0.00001265517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683945,"about_ca_system_score_gemma":0.0005655614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005402892,"about_ca_topic_score_gemma":0.0001471308,"domain_scores_codex":[0.9988582,0.00001761834,0.0003461397,0.0001405275,0.0003171532,0.0003204227],"domain_scores_gemma":[0.9986743,0.0002730107,0.0002885394,0.000166827,0.000436649,0.0001606692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000242849,0.0001885144,0.01765889,0.0004004888,0.0007367335,1.173422e-7,0.01046271,0.8417013,0.02631859,0.009509658,0.08866538,0.004333306],"study_design_scores_gemma":[0.0005078891,0.000281753,0.3545693,0.0005276057,0.0002106987,0.00001425437,0.0005174634,0.6116369,0.02631516,0.000341864,0.004260479,0.0008165747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674782,0.0002638293,0.002350112,0.001413235,0.00678701,0.001758663,0.00004714783,0.0004368666,0.0194649],"genre_scores_gemma":[0.9944368,0.000009550035,0.00493177,0.00006950458,0.0001324161,0.00005477317,0.000003049874,0.00005033887,0.0003117941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3369105,"threshold_uncertainty_score":0.8167593,"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."}}