{"id":"W2024854634","doi":"10.1186/1748-5908-9-81","title":"Examining the ethical and social issues of health technology design through the public appraisal of prospective scenarios: a study protocol describing a multimedia-based deliberative method","year":2014,"lang":"en","type":"article","venue":"Implementation Science","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Thematic analysis; Health informatics; Public health; Health services research; Autonomy; Protocol (science); Medicine; Public relations; Computer science; Medical education; Qualitative research; Sociology; Nursing; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.009297417,0.0001422569,0.0002488628,0.0003521475,0.001105061,0.0001562721,0.001065834,0.00007187012,0.00000595075],"category_scores_gemma":[0.00125101,0.0000891888,0.00001941527,0.002282816,0.00167497,0.0008083124,0.0003810294,0.0004531157,7.570808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133015,"about_ca_system_score_gemma":0.0005506449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282224,"about_ca_topic_score_gemma":0.00007994787,"domain_scores_codex":[0.9964933,0.001323595,0.0006526023,0.0005140514,0.0006787733,0.0003376592],"domain_scores_gemma":[0.9965965,0.001186857,0.0008527398,0.0003756089,0.0009721195,0.00001624725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006677663,0.0004226395,0.01499547,0.00003899821,0.00006892989,9.246453e-7,0.1876486,0.00009493151,0.03408802,0.4713202,0.0001779599,0.2910766],"study_design_scores_gemma":[0.008264788,0.009225663,0.05980024,0.0001122271,0.00003473046,0.00004732274,0.2277717,0.2086724,0.4509208,0.03345576,0.001039113,0.000655274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01740748,0.00000250247,0.9378716,0.02111178,0.00007413904,0.02343975,0.000001192166,0.00007362775,0.00001792237],"genre_scores_gemma":[0.7458875,7.162526e-8,0.2414886,0.0004703555,0.00001153982,0.01213632,3.323954e-7,0.000004524379,7.534536e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.72848,"threshold_uncertainty_score":0.8499348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2681515088631902,"score_gpt":0.5310819886429372,"score_spread":0.262930479779747,"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."}}