{"id":"W1536231556","doi":"","title":"Online Collaborative Learning: Checking our Assumptions","year":2014,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Collaborative learning; Artificial intelligence; Data science; Knowledge management","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":[0.1093753,0.0009451219,0.001227396,0.003819827,0.006458733,0.008682308,0.008314614,0.004328938,0.01650719],"category_scores_gemma":[0.5681155,0.0008118338,0.001658081,0.00351275,0.0141658,0.03066801,0.008853089,0.008210012,0.00172689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00796262,"about_ca_system_score_gemma":0.005715178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008861693,"about_ca_topic_score_gemma":0.003412409,"domain_scores_codex":[0.8927158,0.05985963,0.006512364,0.01170616,0.02594374,0.00326235],"domain_scores_gemma":[0.1256575,0.751371,0.02055522,0.06487045,0.03464993,0.002895869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.005613931,0.001672473,0.06723164,0.001490839,0.0008821666,0.000469804,0.01290193,0.01309507,0.0009165169,0.7351303,0.01815328,0.142442],"study_design_scores_gemma":[0.0009890581,0.0006731264,0.02143818,0.001170823,0.0007187945,0.0004619289,0.01575761,0.1257284,0.005642614,0.8098398,0.01740697,0.0001726187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5759869,0.002591046,0.1705141,0.09844315,0.002034521,0.0006875404,0.002106467,0.0005794825,0.1470568],"genre_scores_gemma":[0.9791135,0.000322237,0.01692972,0.001585507,0.0003624871,0.0002648037,0.0004078032,0.00009161588,0.0009223753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1093753,"threshold_uncertainty_score":0.5784389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04099608427572825,"score_gpt":0.4122460404107944,"score_spread":0.3712499561350662,"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."}}