{"id":"W592749688","doi":"","title":"Understanding collaborative learning in CMC: A research in an elementary classroom","year":2000,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics education; Pedagogy; Psychology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004841817,0.0005709928,0.0005909945,0.00211245,0.003399869,0.01358919,0.001760952,0.003496532,0.003082036],"category_scores_gemma":[0.0371256,0.000706061,0.0003953156,0.001321732,0.003109257,0.01371546,0.003026256,0.003228924,0.0006329556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735862,"about_ca_system_score_gemma":0.003978496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01448931,"about_ca_topic_score_gemma":0.01190811,"domain_scores_codex":[0.9953435,0.00185196,0.0001947743,0.001149243,0.001046706,0.0004137486],"domain_scores_gemma":[0.9627449,0.02762291,0.002293819,0.00201751,0.004027513,0.001293287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002188517,0.003398225,0.08593451,0.0006215448,0.00004721797,0.0003693068,0.7757685,0.0004654006,0.00901801,0.0178448,0.0007843726,0.1055293],"study_design_scores_gemma":[0.0001998643,0.001489665,0.2837912,0.001288218,0.000353702,0.001440585,0.6268198,0.009372238,0.01520066,0.03177968,0.02810389,0.0001604638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809733,0.0006498052,0.004323965,0.000457771,0.00001105704,0.0001272004,0.00002225043,0.00002234553,0.01341225],"genre_scores_gemma":[0.9937145,0.000530176,0.002815976,0.0001132032,0.00001147805,0.00008804165,0.00003402939,0.000018388,0.002674101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01448931,"threshold_uncertainty_score":0.02880996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2702623894393377,"score_gpt":0.4590517076795992,"score_spread":0.1887893182402615,"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."}}