{"id":"W2272681577","doi":"","title":"Using Wiki Technologies as an Adjunct to Computer Conferencing in a Graduate Teacher Education Course","year":2006,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adjunct; Course (navigation); Computer science; Teleconference; Graduate students; Medical education; Multimedia; Medicine; Engineering; Linguistics","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":[0.002876523,0.0003949201,0.0003597106,0.0009870704,0.004948821,0.003786927,0.001051771,0.001010544,0.01460498],"category_scores_gemma":[0.009920182,0.0002828117,0.0002635115,0.001044516,0.000611797,0.002918303,0.003491394,0.002106566,0.005388798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170477,"about_ca_system_score_gemma":0.003284581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002790456,"about_ca_topic_score_gemma":0.01261086,"domain_scores_codex":[0.9982525,0.0008507718,0.00008737764,0.0002371721,0.0002866292,0.0002856161],"domain_scores_gemma":[0.992583,0.002806874,0.0002191452,0.0004688178,0.0004198616,0.003502283],"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":[0.0008704507,0.01166111,0.01307366,0.0003403147,0.00002831338,0.00201652,0.04429777,0.0008046454,0.007054178,0.003912546,0.09545258,0.8204879],"study_design_scores_gemma":[0.0009804629,0.01033687,0.08372103,0.0006362633,0.0002446372,0.003590758,0.1198977,0.01359455,0.03146446,0.01503253,0.7199301,0.0005705234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8045272,0.0005019493,0.0232996,0.006945607,0.001209327,0.0009795978,0.0006114501,0.005380902,0.1565444],"genre_scores_gemma":[0.8575741,0.0005186146,0.05331373,0.0004695274,0.000200635,0.0005240378,0.0005121013,0.0004531498,0.08643404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460498,"threshold_uncertainty_score":0.04885852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04179829716623279,"score_gpt":0.3390357105461337,"score_spread":0.2972374133799009,"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."}}