{"id":"W2624760375","doi":"10.18260/1-2--2107","title":"Transforming Teaching And Learning Using Tablet Pcs ? A Panel Discussion Using Tablet Pcs","year":2020,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hewlett-Packard (Canada)","funders":"Montana State University","keywords":"Tablet pc; Session (web analytics); Dialog box; Panel discussion; Computer science; Audience response; Ask price; Multimedia; Mathematics education; World Wide Web; Psychology; Advertising","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":[0.02287708,0.00115499,0.0005514601,0.0005568983,0.01132345,0.007384767,0.002355578,0.009341114,0.0513372],"category_scores_gemma":[0.02607898,0.0006621043,0.001352008,0.00064134,0.002874351,0.01072607,0.01228311,0.01739385,0.01133103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002615839,"about_ca_system_score_gemma":0.002593957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007518303,"about_ca_topic_score_gemma":0.001250265,"domain_scores_codex":[0.9873995,0.008672354,0.0003100467,0.0009399034,0.001318865,0.001359325],"domain_scores_gemma":[0.9691908,0.01743558,0.0008246381,0.001278101,0.004448277,0.006822685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007034278,0.0009008764,0.0009629034,0.0006315922,0.00003399241,0.001767054,0.1137581,0.0008557035,0.01264546,0.01219655,0.7579632,0.09758118],"study_design_scores_gemma":[0.00005449888,0.0003504287,0.0008935156,0.000397345,0.00001157525,0.0001650673,0.0596457,0.0004833597,0.002193779,0.002244348,0.933468,0.00009237634],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09280111,0.003216003,0.03964641,0.6234477,0.05903466,0.004654362,0.00105268,0.001086256,0.1750608],"genre_scores_gemma":[0.5326692,0.005893859,0.03028636,0.1414028,0.02622375,0.01063411,0.001116957,0.001665061,0.2501079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0513372,"threshold_uncertainty_score":0.1717401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847998772327236,"score_gpt":0.2379608892321147,"score_spread":0.2094809015088424,"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."}}