{"id":"W756685305","doi":"","title":"How to Make Classes, Tutorials and Lab Manuals Stretch Further-A Look at Echo 360!","year":2013,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Echo (communications protocol); Computer science; Human–computer interaction; Computer graphics (images); Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001884922,0.0004844238,0.0004261788,0.0004181101,0.0001475866,0.0006279996,0.0005663286,0.0002841259,0.0001047105],"category_scores_gemma":[0.00004168563,0.0005807509,0.00009076243,0.0003573126,0.00006315227,0.001407211,0.0005091558,0.0005253589,0.000600484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005676519,"about_ca_system_score_gemma":0.00001713382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006291444,"about_ca_topic_score_gemma":0.0002580566,"domain_scores_codex":[0.9980277,0.0001110436,0.0002408174,0.0005709162,0.0003628784,0.0006866339],"domain_scores_gemma":[0.9986585,0.0001149768,0.00006853798,0.0005825927,0.00008470424,0.0004906654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003671289,0.00004820296,0.8428329,0.0002184702,0.0002158243,0.0002058787,0.001807077,0.003565819,0.1482838,0.00006441474,0.00002444281,0.002696456],"study_design_scores_gemma":[0.002512009,0.0003663133,0.8125272,0.0005669254,0.0001394307,0.0001198962,0.002647021,0.0000633538,0.1140266,0.00007130746,0.06451385,0.002446022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996308,0.0003191291,0.0006297363,0.0002229862,0.0006899463,0.0005386546,0.00002672987,0.000785685,0.0004791326],"genre_scores_gemma":[0.988219,0.00006566228,0.0004773068,0.00009932466,0.0002301126,0.000008657633,0.00001782548,0.0001359239,0.0107462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06448941,"threshold_uncertainty_score":0.9996644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381284850495801,"score_gpt":0.2604004866373644,"score_spread":0.2265876381324064,"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."}}