{"id":"W2767175506","doi":"10.5539/jel.v7n1p184","title":"Identifying New Jersey Teachers’ Assessment Literacy as Precondition for Implementing Student Growth Objectives","year":2017,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summative assessment; Competence (human resources); Psychology; Literacy; Mathematics education; Test (biology); Medical education; Data collection; Formative assessment; Pedagogy; Mathematics; Statistics; Medicine; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00335491,0.00009640006,0.0001896008,0.000739511,0.0006273994,0.00112103,0.0002885225,0.0002509235,0.002581775],"category_scores_gemma":[0.01828526,0.0002358285,0.000134523,0.000365195,0.0003912926,0.0008205719,0.0008403935,0.0006750948,0.0003244467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320787,"about_ca_system_score_gemma":0.003457834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03466498,"about_ca_topic_score_gemma":0.09268073,"domain_scores_codex":[0.9980484,0.0005138,0.0001657864,0.0001912737,0.0007548864,0.0003258199],"domain_scores_gemma":[0.9815208,0.007763497,0.003288479,0.0007318544,0.005506564,0.001188762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001317584,0.0003639826,0.9284023,0.0001056348,0.000007845231,0.0002103572,0.01715963,0.0001363792,0.004316604,0.0002803,0.001396662,0.04748851],"study_design_scores_gemma":[0.000003205913,0.0001341059,0.9928142,0.00003095061,0.000004438198,0.00004250862,0.004279707,0.000176832,0.0009236895,0.0000328666,0.001551928,0.000005509149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919951,0.00003989237,0.0004367892,0.0001594884,0.000004552844,0.00005836867,0.00007442165,0.00002126786,0.007210092],"genre_scores_gemma":[0.9974658,0.00005258912,0.001024718,0.00003118945,0.000002840423,0.00006052064,0.000134278,0.000004340382,0.001223642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03466498,"threshold_uncertainty_score":0.06892645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05151849873937381,"score_gpt":0.487412330567119,"score_spread":0.4358938318277452,"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."}}