{"id":"W3213677569","doi":"10.2196/34567","title":"Cocreating a Harmonized Living Lab for Big Data–Driven Hybrid Persona Development: Protocol for Cocreating, Testing, and Seeking Consensus","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Persona Design and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"European Commission","keywords":"Living lab; Context (archaeology); Protocol (science); Knowledge management; Health care; Independent living; Computer science; World Wide Web; Medicine; Gerontology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002866397,0.0002654416,0.000336941,0.0001775019,0.001620007,0.001177181,0.001410416,0.00008212736,0.000009355962],"category_scores_gemma":[0.004218795,0.0002604869,0.00005399635,0.0007551437,0.0001817634,0.000297293,0.001612364,0.0003743837,0.000009857832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294906,"about_ca_system_score_gemma":0.001861695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001750175,"about_ca_topic_score_gemma":0.00001601471,"domain_scores_codex":[0.9961948,0.0003978592,0.0005008142,0.001271564,0.0006524049,0.0009825656],"domain_scores_gemma":[0.9926884,0.004441939,0.0002227939,0.001099242,0.001262633,0.0002850505],"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":[0.0007866094,0.002454956,0.0116615,0.009839131,0.0002420264,0.0001658591,0.007741178,0.0000189041,0.2474309,0.005864581,0.07197221,0.6418221],"study_design_scores_gemma":[0.005551641,0.0005143604,0.001011536,0.006191106,0.000004660207,0.0001457362,0.0003554847,0.3431013,0.01805815,0.0009770464,0.6233894,0.0006995799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002083048,0.000003251296,0.133583,0.0004709689,0.000005433489,0.8648645,0.00006348788,0.0002176094,0.0005834496],"genre_scores_gemma":[0.0003898084,6.428537e-8,0.3201633,0.00005724462,0.0001706387,0.6784263,0.00001706076,0.00003149269,0.0007441341],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.6411225,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5718250468072794,"score_gpt":0.5289214499431985,"score_spread":0.04290359686408096,"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."}}