{"id":"W2189259767","doi":"","title":"Scripting Collaborative Learning in Smart Classrooms: Towards Building Knowledge Communities","year":2011,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scripting language; Context (archaeology); Mathematics education; Collaborative learning; Curriculum; Computer science; Domain (mathematical analysis); Design-based research; Pedagogy; Knowledge management; Psychology; Mathematics; Programming language","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00573444,0.0008396817,0.001208076,0.001389824,0.001279325,0.0002639974,0.0008393783,0.0004940146,0.002598499],"category_scores_gemma":[0.0006132833,0.0008973993,0.0001526872,0.005109045,0.0005279227,0.0005892458,0.0005053646,0.004978488,0.0002634025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778028,"about_ca_system_score_gemma":0.0006574435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008765949,"about_ca_topic_score_gemma":0.0002394098,"domain_scores_codex":[0.9831486,0.01279669,0.00126847,0.0009904746,0.0004092013,0.001386553],"domain_scores_gemma":[0.9956002,0.001094673,0.00090441,0.0006231041,0.001554947,0.0002226159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004099276,0.0005442559,0.3130464,0.00006758398,0.000513705,0.000278692,0.5259859,0.001457484,0.000706885,0.01440161,0.001820639,0.1407669],"study_design_scores_gemma":[0.005391078,0.003288829,0.414757,0.0009692382,0.000132085,0.0001008659,0.2590184,0.02265376,0.0009203965,0.0005379133,0.2895875,0.002642956],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6506123,0.001092761,0.158132,0.0001543778,0.002615671,0.000816279,0.00001171342,0.001192596,0.1853723],"genre_scores_gemma":[0.9249309,0.0000207399,0.06633766,0.0002499552,0.000415282,0.0001780975,0.00009864491,0.0001682857,0.007600457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2877669,"threshold_uncertainty_score":0.9993477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06694440307588019,"score_gpt":0.3553828072979619,"score_spread":0.2884384042220817,"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."}}