{"id":"W3193068425","doi":"10.11124/jbies-20-00589","title":"Professional representation of conversational agents for health care: a scoping review protocol","year":2021,"lang":"en","type":"article","venue":"JBI Evidence Synthesis","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital; University of New Brunswick","funders":"","keywords":"CINAHL; Scopus; Protocol (science); Representation (politics); MEDLINE; Digital library","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":[0.1479428,0.004994082,0.01404265,0.03050473,0.00685037,0.01148398,0.00734776,0.009969873,0.05075639],"category_scores_gemma":[0.1268119,0.005881353,0.01386393,0.02291293,0.007119773,0.01213423,0.009550307,0.007274621,0.01154516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02036344,"about_ca_system_score_gemma":0.1239533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006043662,"about_ca_topic_score_gemma":0.01375173,"domain_scores_codex":[0.9268813,0.02835421,0.02746317,0.004349755,0.01031933,0.002632232],"domain_scores_gemma":[0.9022703,0.03493797,0.01483112,0.007969859,0.03616323,0.003827554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004065684,0.0007170013,0.001648634,0.8448273,0.001426203,0.001235093,0.009043335,0.001335535,0.002038472,0.01030652,0.0312842,0.09207208],"study_design_scores_gemma":[0.007065126,0.001549539,0.005741855,0.7353835,0.004430418,0.000787554,0.01130766,0.001130364,0.002143593,0.008582052,0.221464,0.0004143878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0003856843,0.001666719,0.001262673,0.0003083997,0.0001238617,0.9938263,0.001745869,0.00003837213,0.0006420694],"genre_scores_gemma":[0.0003750792,0.001700957,0.004107096,0.0001168898,0.00001583549,0.9930075,0.000431808,0.000005609017,0.0002391839],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1479428,"threshold_uncertainty_score":0.7824056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09854579949092424,"score_gpt":0.5362219400560881,"score_spread":0.4376761405651639,"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."}}