{"id":"W1504001349","doi":"10.3386/w17486","title":"If You Build It Will They Come? Teacher Use of Student Performance Data on a Web-Based Tool","year":2011,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manning Diversified Forest Products (Canada)","funders":"","keywords":"Computer science; World Wide Web; Web application; Data science; Mathematics education; Psychology","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":[0.002303418,0.0001148109,0.0001895035,0.001405082,0.0009536566,0.002302229,0.0003990657,0.0004124443,0.007359671],"category_scores_gemma":[0.02851979,0.0002503025,0.0001576427,0.001887411,0.0004399278,0.002442025,0.0009913864,0.0008575529,0.006083453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006342047,"about_ca_system_score_gemma":0.0008179429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050689,"about_ca_topic_score_gemma":0.02625541,"domain_scores_codex":[0.9979317,0.0008797598,0.0001359346,0.0001668964,0.0006415781,0.0002441033],"domain_scores_gemma":[0.9818096,0.007446765,0.003696499,0.001584538,0.003899133,0.001563473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008469638,0.0002404497,0.8538201,0.00008028036,0.00002177196,0.0001207298,0.01193088,0.0001147334,0.0005000476,0.0006967339,0.03056098,0.1018287],"study_design_scores_gemma":[0.00001602938,0.0002445814,0.8245652,0.0002363161,0.00003280484,0.0002858566,0.07700388,0.0007651145,0.002719325,0.000730761,0.09334812,0.0000519933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952357,0.0003141817,0.001992183,0.007272223,0.00006510602,0.0000848656,0.004668817,0.0003349902,0.03291073],"genre_scores_gemma":[0.9761841,0.0006490219,0.003481714,0.0006930837,0.00003324807,0.0001112789,0.003306798,0.0001027715,0.01543804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050689,"threshold_uncertainty_score":0.02462059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7273154096248834,"score_gpt":0.6092074537407975,"score_spread":0.1181079558840858,"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."}}