{"id":"W4319863206","doi":"10.5334/pme.817","title":"Guidelines: The Do&amp;rsquo;s, Don&amp;rsquo;ts and Don&amp;rsquo;t Knows of Creating Open Educational Resources","year":2023,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia; McMaster University","funders":"","keywords":"Open educational resources; Scholarship; Medical education; Best practice; Computer science; Library science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002550059,0.0003387457,0.0004037587,0.0004534968,0.0008358598,0.0007709531,0.002248876,0.0001897189,0.001730708],"category_scores_gemma":[0.01286749,0.0002657315,0.0001178572,0.001725943,0.0004083326,0.0007237478,0.0007495896,0.0006826108,0.0004569191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448199,"about_ca_system_score_gemma":0.002507378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379831,"about_ca_topic_score_gemma":0.0002753125,"domain_scores_codex":[0.995757,0.0005920354,0.0008226524,0.001034129,0.001298476,0.0004957012],"domain_scores_gemma":[0.9955165,0.00154306,0.0004829617,0.001032832,0.0009312741,0.000493358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001059623,0.002482942,0.03114076,0.0001808524,0.0001906622,0.000001245394,0.336116,0.0004078074,0.0004882566,0.3267396,0.2017457,0.1004002],"study_design_scores_gemma":[0.001241751,0.0002435394,0.2048199,0.001209817,0.00007687991,0.00009391621,0.2431496,0.003130562,0.00007413868,0.01307983,0.5318069,0.001073143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7749056,0.001998025,0.00136246,0.1644556,0.002630195,0.001159277,0.000009601317,0.0002675244,0.05321178],"genre_scores_gemma":[0.9589602,0.001075674,0.01536056,0.002803697,0.001903052,0.0003499461,0.0001199191,0.0000582143,0.01936875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3300612,"threshold_uncertainty_score":0.9999795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05560935415110889,"score_gpt":0.4061216039814314,"score_spread":0.3505122498303225,"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."}}