{"id":"W2101769394","doi":"10.3109/0142159x.2012.668623","title":"A comprehensive process of content validation of curriculum consensus guidelines for a medical specialty","year":2012,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Innovations in Medical Education","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Curriculum; Content validity; Credibility; Delphi method; Blueprint; Rubric; Delphi; Computer science; Content analysis; Process (computing); Content (measure theory); Domain (mathematical analysis); Curriculum development; Medical education; Psychology; Medicine; Mathematics education; Pedagogy; Psychometrics; Sociology; Artificial intelligence; Political science; Engineering; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4795099,0.002519753,0.002913484,0.02089952,0.008650947,0.00713228,0.007305053,0.00451774,0.005425415],"category_scores_gemma":[0.5864118,0.002167131,0.003953767,0.008929384,0.005293369,0.007998041,0.01584654,0.007928645,0.002530836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01380032,"about_ca_system_score_gemma":0.06237021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004876651,"about_ca_topic_score_gemma":0.00674254,"domain_scores_codex":[0.4810421,0.3826264,0.04721688,0.01794687,0.06645126,0.004716502],"domain_scores_gemma":[0.2919929,0.2996146,0.02496902,0.07383248,0.3041722,0.005418777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003421567,0.001327771,0.004854518,0.005089805,0.000464345,0.0006118794,0.09267803,0.004133242,0.01671135,0.02947289,0.02110933,0.8232047],"study_design_scores_gemma":[0.001777975,0.003567045,0.03231158,0.03237095,0.001497294,0.002822025,0.09805243,0.077035,0.07175283,0.2218147,0.4543164,0.00268166],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03588267,0.001218162,0.8804505,0.006130602,0.00136011,0.06279138,0.0004657813,0.001048756,0.01065188],"genre_scores_gemma":[0.04395923,0.0003503549,0.9266057,0.0008560025,0.0001618316,0.02551772,0.0005976724,0.0002778689,0.001673571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4795099,"threshold_uncertainty_score":0.6418569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397267376425785,"score_gpt":0.4451915027636165,"score_spread":0.305464765121038,"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."}}