{"id":"W4308862035","doi":"10.1002/aet2.10802","title":"Education Theory Made Practical: Creating open educational resources via an apprenticeship model","year":2022,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Apprenticeship; Promotion (chess); Medical education; Psychology; Pedagogy; Medicine; Political science","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009139744,0.0008577731,0.0003863543,0.001813896,0.001684688,0.00811363,0.003933002,0.00246495,0.01120454],"category_scores_gemma":[0.0278147,0.0006533269,0.0009428252,0.0007752506,0.003154859,0.01078885,0.009405697,0.001828181,0.003683235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009185856,"about_ca_system_score_gemma":0.002447849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004301756,"about_ca_topic_score_gemma":0.0005795316,"domain_scores_codex":[0.9920843,0.005602657,0.0002375559,0.0007149098,0.0009933901,0.0003671529],"domain_scores_gemma":[0.9706281,0.01978333,0.0008585729,0.004728957,0.001409738,0.00259128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004936829,0.007902244,0.01639778,0.00137067,0.00009530304,0.00180938,0.05084539,0.008949358,0.007118894,0.1516225,0.01882056,0.7345742],"study_design_scores_gemma":[0.0008840377,0.006985339,0.01538242,0.002841082,0.0003674623,0.006009095,0.03602172,0.1657414,0.01785892,0.3285617,0.418918,0.0004288112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3521292,0.0006579758,0.4235895,0.004600693,0.0002799813,0.003720621,0.0001679213,0.002704794,0.2121492],"genre_scores_gemma":[0.5991031,0.0005707219,0.3736893,0.0005731463,0.0001250333,0.002326583,0.0003322145,0.0003421481,0.02293764],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.996067,"threshold_uncertainty_score":0.04833615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06570378807228688,"score_gpt":0.3674023881248037,"score_spread":0.3016986000525168,"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."}}