{"id":"W1965011604","doi":"10.1111/j.1365-2923.2007.02769.x","title":"Challenges in multisource feedback: intended and unintended outcomes","year":2007,"lang":"en","type":"article","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Unintended consequences; Medical education; MEDLINE; Psychology; Medicine; Engineering ethics; Political science; Engineering","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":[0.3884451,0.0009595759,0.001318467,0.00223375,0.004463468,0.008463267,0.002852018,0.004920715,0.003734925],"category_scores_gemma":[0.7404793,0.001010527,0.001936408,0.002135005,0.01042384,0.008084299,0.00812941,0.004270916,0.0007264432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007273106,"about_ca_system_score_gemma":0.01164382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002879372,"about_ca_topic_score_gemma":0.001728972,"domain_scores_codex":[0.3351673,0.518399,0.03742507,0.01053117,0.0930917,0.005385769],"domain_scores_gemma":[0.1109718,0.7799279,0.04506896,0.02862997,0.03274619,0.002655135],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002380191,0.001484482,0.2388315,0.01177198,0.0008271838,0.002202379,0.321869,0.003191994,0.005018815,0.01946079,0.006092588,0.3868691],"study_design_scores_gemma":[0.001453903,0.0136715,0.33775,0.04471876,0.001125643,0.01068943,0.3084516,0.02164308,0.03840458,0.1252227,0.09551855,0.001350312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7723267,0.006427357,0.123079,0.05075005,0.001263944,0.004505721,0.0006484839,0.0006190349,0.04037981],"genre_scores_gemma":[0.9742133,0.0007088007,0.01865055,0.003059125,0.0002122852,0.001960011,0.00008641855,0.0001243677,0.000985157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3884451,"threshold_uncertainty_score":0.7541561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083829941999499,"score_gpt":0.377207284755967,"score_spread":0.346368985335972,"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."}}