{"id":"W4281259919","doi":"10.1016/j.zefq.2022.05.001","title":"Moving shared decision-making forward in Iran","year":2022,"lang":"de","type":"article","venue":"Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Montreal Children's Hospital; Jewish General Hospital; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Legislation; Context (archaeology); Process (computing); State (computer science); Political science; Public relations; Knowledge management; Process management; Computer science; Business; Geography; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.009192465,0.001907016,0.002978327,0.002652677,0.008728498,0.0004501059,0.005778876,0.00143022,0.005976361],"category_scores_gemma":[0.01077408,0.002206389,0.001113428,0.004975326,0.0004635248,0.002595408,0.008832964,0.00968537,0.002211363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776584,"about_ca_system_score_gemma":0.003692969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006205337,"about_ca_topic_score_gemma":0.005168569,"domain_scores_codex":[0.963937,0.01530305,0.008247552,0.003347977,0.004304837,0.004859625],"domain_scores_gemma":[0.9649554,0.02193193,0.003962297,0.006868324,0.0009016953,0.001380349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005644055,0.003023235,0.4662833,0.008985151,0.001799514,0.0007365434,0.3143993,0.009628524,0.0003086485,0.07516859,0.05963435,0.05438874],"study_design_scores_gemma":[0.008307762,0.001358618,0.05637667,0.01262081,0.0007786212,0.00005225834,0.1292876,0.008259469,0.00003028805,0.008696631,0.7700079,0.004223307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2203788,0.6260732,0.003223685,0.0502054,0.04006156,0.03118027,0.005782352,0.002797115,0.02029762],"genre_scores_gemma":[0.9729153,0.002446826,0.008272276,0.008117277,0.00165591,0.003422485,0.0009886567,0.0007009451,0.001480304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7525365,"threshold_uncertainty_score":0.9998661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1786192837511868,"score_gpt":0.4702728291986943,"score_spread":0.2916535454475075,"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."}}