{"id":"W2580182258","doi":"10.18849/ve.v2i1.95","title":"Embedding EBVM into Practice","year":2017,"lang":"en","type":"article","venue":"Veterinary Evidence","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Clinical Practice; Audit; Concordance; Icon; Best practice; Medicine; Computer science; Political science; Family medicine; Business; Accounting; Internal medicine; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.1175002,0.0007984043,0.0006919272,0.003609139,0.005097184,0.01486386,0.004155425,0.008198446,0.01761185],"category_scores_gemma":[0.1956763,0.001102983,0.001277277,0.002562085,0.01657802,0.02003074,0.02415575,0.01218182,0.00735507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01637028,"about_ca_system_score_gemma":0.05103124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00652931,"about_ca_topic_score_gemma":0.0105735,"domain_scores_codex":[0.8414161,0.1208749,0.006981454,0.005118375,0.02155303,0.004056095],"domain_scores_gemma":[0.8368655,0.08795068,0.00777137,0.02197932,0.03204392,0.01338925],"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":[0.00003701549,0.000364992,0.002240005,0.002834606,0.00004184779,0.0005126522,0.03255474,0.0009443489,0.0008668514,0.2775519,0.1113153,0.5707357],"study_design_scores_gemma":[0.00005693356,0.0002272487,0.002143989,0.01149126,0.00002593455,0.0004242635,0.02165772,0.0009374668,0.0008600903,0.1599925,0.8021054,0.00007726352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01034614,0.01167792,0.1262062,0.5802274,0.006113318,0.001567401,0.0001902213,0.001267771,0.2624037],"genre_scores_gemma":[0.3629672,0.01519372,0.4974351,0.07997532,0.002356111,0.003310329,0.0004795989,0.0008927879,0.03738986],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1175002,"threshold_uncertainty_score":0.6214077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.545723877423794,"score_gpt":0.6204818596005703,"score_spread":0.07475798217677632,"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."}}