{"id":"W2185791040","doi":"10.22318/cscl2013.1.391","title":"The Effect of Formative Feedback on Vocabulary Use and Distribution of Vocabulary Knowledge in a Grade Two Knowledge Building Class","year":2013,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Formative assessment; Vocabulary; Context (archaeology); Computer science; Class (philosophy); Knowledge survey; Mathematics education; Artificial intelligence; Psychology; Linguistics","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":[0.004242409,0.001014282,0.0007701218,0.0009135285,0.0008974317,0.002470158,0.001176816,0.0009381049,0.00187006],"category_scores_gemma":[0.04921082,0.0003791904,0.0003995026,0.0003737308,0.0007920442,0.0008331391,0.001197903,0.001418561,0.0005208949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008651951,"about_ca_system_score_gemma":0.0008672754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00320481,"about_ca_topic_score_gemma":0.003995994,"domain_scores_codex":[0.9960333,0.001448571,0.0003255763,0.0006016623,0.001131715,0.0004592671],"domain_scores_gemma":[0.952897,0.03227237,0.0041127,0.002053967,0.004075145,0.004588758],"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":[0.01023979,0.08666266,0.3214278,0.001046393,0.0005222411,0.001829476,0.06832276,0.002941678,0.1511602,0.0003548214,0.001846707,0.3536454],"study_design_scores_gemma":[0.000645811,0.04575031,0.8810862,0.0002076201,0.0003375048,0.0004665875,0.01576865,0.004102794,0.04699432,0.0006333902,0.003783438,0.0002234613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993647,0.00001577832,0.0001679514,0.00002090762,0.000006915384,0.00003405099,0.00001228749,0.0000216572,0.0003556839],"genre_scores_gemma":[0.9977831,0.00003673909,0.001079508,0.00003046879,0.000008171412,0.0001015055,0.00004723984,0.00001472002,0.0008985375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004242409,"threshold_uncertainty_score":0.02243626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822865322042856,"score_gpt":0.3372294690677145,"score_spread":0.319000815847286,"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."}}