{"id":"W2902958737","doi":"","title":"Multiple Scaffolds to Promote Collective Knowledge Construction in Science Classrooms.","year":2013,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002526546,0.0003625752,0.0004865835,0.001365139,0.0007122388,0.0002804097,0.0004545095,0.0001865215,0.001048776],"category_scores_gemma":[0.0005880559,0.0003683162,0.00005103751,0.008364352,0.0005110934,0.0004599443,0.0002347849,0.0008857169,0.0009951306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779727,"about_ca_system_score_gemma":0.0008316296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001416778,"about_ca_topic_score_gemma":0.00003569114,"domain_scores_codex":[0.9951791,0.002006327,0.000566561,0.001049252,0.0003193199,0.0008794504],"domain_scores_gemma":[0.9970086,0.0004467613,0.0002787728,0.0003805718,0.001654859,0.0002303896],"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":[0.0001847212,0.0004822787,0.3570928,0.00002350474,0.0001456925,0.00005125752,0.1746187,0.002310469,0.01969632,0.004947696,0.006476729,0.4339699],"study_design_scores_gemma":[0.0028801,0.001676343,0.8974411,0.0001922644,0.00001830011,0.00005352305,0.0121925,0.03253881,0.002200458,0.0006805537,0.0491131,0.001012983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8570297,0.00004688385,0.1127652,0.0003371773,0.00158684,0.001219752,0.000003220244,0.0003029642,0.02670824],"genre_scores_gemma":[0.8900276,5.694549e-7,0.1042334,0.0001826882,0.0002338596,0.0002735954,0.00001265807,0.00004573258,0.004989929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5403482,"threshold_uncertainty_score":0.9998769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212977173363525,"score_gpt":0.335675558924042,"score_spread":0.3143778415876895,"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."}}