{"id":"W4289523369","doi":"10.1111/medu.14887","title":"Exploring the development of adaptive expertise through the lens of threshold concepts","year":2022,"lang":"en","type":"article","venue":"Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mindset; Framing (construction); Psychology; Grounded theory; Liminality; Exploratory research; Dreyfus model of skill acquisition; Qualitative research; Medical education; Medicine; Computer science; Sociology","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"],"consensus_categories":[],"category_scores_codex":[0.0006271406,0.00006277493,0.0001662437,0.00001738739,0.000137979,0.000001958373,0.0001602589,0.00002297442,0.000677695],"category_scores_gemma":[0.01498696,0.00003385047,0.00005951299,0.0001798906,0.000218391,0.00003259691,0.00009220199,0.0002480865,0.000004471789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006869172,"about_ca_system_score_gemma":0.001799231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009346967,"about_ca_topic_score_gemma":0.00000939148,"domain_scores_codex":[0.9985741,0.00007759918,0.0003852466,0.0001224406,0.0007297229,0.000110852],"domain_scores_gemma":[0.9967872,0.002678974,0.0001297796,0.0002556298,0.00009242852,0.00005596973],"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":[0.0005487319,0.004934939,0.01026552,0.00007908915,0.0002540243,0.000005493964,0.243293,0.00008755452,0.0004452486,0.018486,0.0495079,0.6720924],"study_design_scores_gemma":[0.006942763,0.002666079,0.4354344,0.007423304,0.0006442018,0.0001344133,0.2881623,0.002237855,0.02181978,0.003507938,0.2302973,0.000729622],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788929,0.0007634587,0.0002781565,0.01593386,0.0008342495,0.000264335,0.000001575992,0.00001166292,0.00301984],"genre_scores_gemma":[0.9961289,0.00008029373,0.000451276,0.00270109,0.0001407918,0.0003079371,0.00001345035,0.000007128006,0.0001691493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6713628,"threshold_uncertainty_score":0.9933102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404727947888966,"score_gpt":0.3992932678414431,"score_spread":0.2588204730525465,"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."}}