{"id":"W2626589579","doi":"10.1002/tl.20240","title":"Impact of Decoding Work within a Professional Program","year":2017,"lang":"en","type":"article","venue":"New Directions for Teaching and Learning","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Decoding methods; Work (physics); Professional development; Higher education; Computer science; Pedagogy; Mathematics education; Psychology; Political science; Engineering; Telecommunications","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00117305,0.0001185846,0.000174514,0.0001049886,0.003092809,0.000356988,0.0002924814,0.000056774,0.000002692591],"category_scores_gemma":[0.001162557,0.00009668666,0.0001324818,0.00005863808,0.0000350156,0.0003391234,0.0001105584,0.0006965329,0.000001781705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000040666,"about_ca_system_score_gemma":0.00007935959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009555477,"about_ca_topic_score_gemma":0.000008449803,"domain_scores_codex":[0.9990305,0.0001697469,0.0002015918,0.0002631945,0.0001210038,0.0002140136],"domain_scores_gemma":[0.9990326,0.0002422629,0.0003358998,0.0002503629,0.00005146855,0.00008743285],"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":[0.00002180345,0.00008178545,0.08935299,0.00002923269,0.00008464697,0.000001235396,0.009026618,0.003186045,0.0005516208,0.03470396,0.0002332371,0.8627268],"study_design_scores_gemma":[0.002106366,0.002624618,0.4757754,0.003141793,0.00008298327,0.0001007579,0.002157554,0.1805685,0.0005674263,0.001460246,0.3301622,0.001252248],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7019262,0.0001431935,0.2929415,0.0001662084,0.001085181,0.0003426429,4.883604e-7,0.000349853,0.003044695],"genre_scores_gemma":[0.8951105,0.000002228652,0.07935002,0.000003065033,0.0002022335,0.00002481708,9.192946e-7,0.00001183982,0.02529436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8614746,"threshold_uncertainty_score":0.998205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242338149619129,"score_gpt":0.3588072276792995,"score_spread":0.3263838461831082,"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."}}