{"id":"W4399461833","doi":"10.1111/medu.15458","title":"When words are your scalpel, what and how information is exchanged may be differently salient to assessors","year":2024,"lang":"en","type":"article","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto","funders":"University of Toronto","keywords":"Psychology; Interpersonal communication; Surprise; Context (archaeology); Variation (astronomy); Salient; Grounded theory; Social psychology; Medical education; Applied psychology; Qualitative research; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03226976,0.0004762096,0.0006686141,0.001303293,0.002055717,0.005033856,0.0009630201,0.001325751,0.005546673],"category_scores_gemma":[0.1821525,0.0003131599,0.0005170188,0.0008069147,0.004518683,0.005115195,0.002940322,0.002135924,0.002053184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001919652,"about_ca_system_score_gemma":0.002743547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001648132,"about_ca_topic_score_gemma":0.002206266,"domain_scores_codex":[0.9434351,0.04101926,0.00295746,0.002331493,0.009236402,0.001020371],"domain_scores_gemma":[0.8805493,0.07562464,0.01581682,0.007472454,0.01680897,0.003727811],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001318355,0.000251437,0.1108307,0.001640515,0.0002185582,0.001760062,0.2610509,0.0008798852,0.03073905,0.01489074,0.02713923,0.5492805],"study_design_scores_gemma":[0.0001879358,0.002632881,0.2061835,0.00473318,0.0003438092,0.005281173,0.3721723,0.006037807,0.03219823,0.07305822,0.2963961,0.000774923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7480522,0.004831943,0.1320852,0.04589146,0.002405108,0.001141847,0.0007355256,0.001281356,0.06357525],"genre_scores_gemma":[0.9437958,0.001695567,0.04072821,0.005083153,0.0003975393,0.0005422624,0.0001559015,0.0002526993,0.007348928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9677302,"threshold_uncertainty_score":0.1706609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217260149457767,"score_gpt":0.348304275271604,"score_spread":0.3261316737770263,"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."}}