{"id":"W1547536565","doi":"","title":"Supporting Deep Approaches to Learning through the Use of Wikis and Weblogs","year":2008,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal College of Physicians and Surgeons of Canada; Mount Royal University","funders":"","keywords":"Computer science; World Wide Web; Deep learning; Artificial intelligence; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004483064,0.00009835981,0.0001068011,0.0001264,0.0007679317,0.0001228316,0.0003253656,0.0001737363,0.0001075686],"category_scores_gemma":[0.001166707,0.00009120171,0.0000757755,0.0005070731,0.000489716,0.001480227,0.00005728128,0.0002056032,0.00001161091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388802,"about_ca_system_score_gemma":0.0008153248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002783783,"about_ca_topic_score_gemma":0.00006755584,"domain_scores_codex":[0.9989448,0.00004687373,0.0004042693,0.0001400748,0.0002841683,0.0001798249],"domain_scores_gemma":[0.9984086,0.000117438,0.0003901322,0.0001441767,0.0008970076,0.00004262949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001224775,0.00009516694,0.01377482,0.00001714348,0.00005112909,9.638614e-9,0.2090605,0.0001450581,0.00003858903,0.7106726,0.01504266,0.05109003],"study_design_scores_gemma":[0.0001619648,0.00003733579,0.00198368,0.00001866925,0.0000153966,0.000003582908,0.2419697,0.00192221,0.0001874894,0.007201924,0.7463576,0.0001404253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5455862,0.0001809948,0.2194752,0.1935199,0.002250831,0.002671205,0.00003477249,0.0004930177,0.03578799],"genre_scores_gemma":[0.9691732,0.0001400174,0.02555953,0.001059563,0.0001255663,0.0003709999,0.00008783863,0.000006232665,0.003477045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7313149,"threshold_uncertainty_score":0.5906387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1370854348487474,"score_gpt":0.3585553499142285,"score_spread":0.2214699150654811,"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."}}