{"id":"W4378382739","doi":"10.1515/9781553395560","title":"Learning Outcomes, Academic Credit and Student Mobility","year":2020,"lang":"en","type":"book","venue":"McGill-Queen's University Press eBooks","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006376051,0.0003812239,0.000622149,0.0001901357,0.002009681,0.00007994646,0.0009058618,0.0005591274,0.00007151691],"category_scores_gemma":[0.0003671308,0.0004251386,0.0001758566,0.00005562529,0.001029399,0.0001770728,0.001245697,0.001931282,0.00002699055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197402,"about_ca_system_score_gemma":0.0005665026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00368232,"about_ca_topic_score_gemma":0.000008892212,"domain_scores_codex":[0.9963523,0.0007703424,0.0002745358,0.0008065023,0.001192474,0.0006038888],"domain_scores_gemma":[0.9978676,0.0006812469,0.0002726812,0.0003175969,0.0003114509,0.0005494121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001242654,0.0001292227,0.009304984,0.0004866558,0.001223131,0.0002464028,0.03947538,0.00001970125,0.000005773729,0.7921116,0.1542597,0.002613137],"study_design_scores_gemma":[0.0003504083,0.0000621205,0.003233229,0.00006734935,0.0001291148,1.273109e-7,0.003857824,9.178493e-7,0.000003757244,0.0002194654,0.9916975,0.0003781827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003082001,0.00001140522,0.000004802019,0.002458814,0.0003340467,0.0009929136,0.0001611354,0.0003283631,0.9954003],"genre_scores_gemma":[0.003654789,0.001083629,0.00005796483,0.0001574184,0.0002822264,0.000008171167,0.00002400711,0.00003442074,0.9946974],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8374377,"threshold_uncertainty_score":0.9998201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097163540799579,"score_gpt":0.3247377585232442,"score_spread":0.2937661231152484,"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."}}