{"id":"W2140726322","doi":"10.1503/cmaj.091714","title":"Development of the AGREE II, part 1: performance, usefulness and areas for improvement","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":504,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Ottawa; Cancer Care Ontario","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003205928,0.00007332642,0.0001605376,0.0000613664,0.0003861469,0.00001974082,0.0001016731,0.0001701476,0.0008517175],"category_scores_gemma":[0.00711015,0.00005115346,0.00005813163,0.00009587414,0.00003853463,0.00008927886,0.00002943229,0.0006241201,0.000003258669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602698,"about_ca_system_score_gemma":0.00416928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002044779,"about_ca_topic_score_gemma":0.03119354,"domain_scores_codex":[0.9980424,0.00002692562,0.0007842052,0.0000985564,0.0008065333,0.0002413473],"domain_scores_gemma":[0.9980002,0.0002736069,0.0004263089,0.00009665221,0.0005396378,0.0006635804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004868944,0.00008018539,0.2297263,0.00004780545,0.0001725075,0.000004735379,0.0006491856,4.499956e-7,0.000797474,0.000133621,0.05105359,0.7172855],"study_design_scores_gemma":[0.002244398,0.0001145609,0.2571047,0.00007301913,0.00007786457,0.0000986115,0.0004225933,0.0003163931,0.0009000056,0.00005258283,0.7385163,0.00007889697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967618,0.00000679825,0.0001076144,0.03051548,0.001199548,0.0002860986,0.00001168678,0.000003803995,0.0002509351],"genre_scores_gemma":[0.989028,0.00001749419,0.002131201,0.00731197,0.001070549,0.00002112399,0.0000125568,0.00001021883,0.0003969374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7172066,"threshold_uncertainty_score":0.9864846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0663481103567534,"score_gpt":0.3533494847421439,"score_spread":0.2870013743853905,"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."}}