{"id":"W4404242870","doi":"10.12968/opti.2023.267.6901.21","title":"CPD: How clinical science translates into clinical practice","year":2023,"lang":"en","type":"article","venue":"Optician","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Clinical Practice; Computer science; Data science; Psychology; Medical physics; Medical education; Medicine; Family medicine","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":[0.2705058,0.001689843,0.002716991,0.01265221,0.00610261,0.05089978,0.005110135,0.01485584,0.01229857],"category_scores_gemma":[0.5401101,0.002055612,0.001794369,0.007447256,0.04402429,0.03944811,0.01939821,0.02594982,0.005627922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01973954,"about_ca_system_score_gemma":0.04295995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235984,"about_ca_topic_score_gemma":0.01013677,"domain_scores_codex":[0.7580227,0.1633608,0.01850297,0.009453245,0.0461779,0.004482372],"domain_scores_gemma":[0.2824745,0.5975848,0.01203435,0.02054403,0.06700714,0.0203551],"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":[0.0001417261,0.0004016127,0.01123664,0.003825966,0.0002535886,0.0006133407,0.01866775,0.001149513,0.0002112485,0.1518784,0.3318925,0.4797277],"study_design_scores_gemma":[0.0001917585,0.0003824072,0.01286913,0.02401924,0.0001302262,0.0007221053,0.02552243,0.002272471,0.000526276,0.5588223,0.374027,0.0005146688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001801354,0.04045398,0.01243156,0.8989191,0.01930452,0.0001866304,0.0001554168,0.0005959801,0.02615149],"genre_scores_gemma":[0.2930616,0.13148,0.1225638,0.3816862,0.055531,0.002235687,0.0004580378,0.002772502,0.01021111],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2705058,"threshold_uncertainty_score":0.8995962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1486111338846161,"score_gpt":0.5413134279829269,"score_spread":0.3927022940983108,"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."}}