{"id":"W6920985314","doi":"10.6084/m9.figshare.20424043","title":"Additional file 1 of Fantastic perspectives and where to find them: involving patients and citizens in digital health research","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; McGill University Health Centre","funders":"","keywords":"Digital health; Checklist; Health care; MEDLINE; Public health; Qualitative research","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003599279,0.0009089339,0.001105761,0.002993129,0.00211938,0.002033044,0.00163185,0.001513073,0.8683507],"category_scores_gemma":[0.07831424,0.0006089215,0.0008948824,0.004870307,0.0003908262,0.003089636,0.001880081,0.001454927,0.1300101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963217,"about_ca_system_score_gemma":0.003799609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501407,"about_ca_topic_score_gemma":0.02949097,"domain_scores_codex":[0.9981964,0.0005417229,0.0004572418,0.0002156357,0.0003605222,0.000228363],"domain_scores_gemma":[0.9387249,0.04654255,0.004070239,0.002257161,0.007095847,0.001309292],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002789893,0.0001177227,0.002267326,0.002794735,0.00001970345,0.00005203757,0.0003467568,0.0001068789,0.00001962468,0.0007951488,0.9818953,0.01130603],"study_design_scores_gemma":[0.007295494,0.0004515167,0.05433148,0.01550735,0.000235176,0.0006854733,0.006576271,0.001166164,0.0005154907,0.01824497,0.8947257,0.0002649248],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0005515355,0.0000400402,0.0003407135,0.0003860227,0.00004108823,0.0008104797,0.9940677,0.0001309223,0.003631497],"genre_scores_gemma":[0.02696558,0.0006990199,0.008441268,0.002445719,0.0002578557,0.05018413,0.8702478,0.000763945,0.03999469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964007,"threshold_uncertainty_score":0.1877816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3686821976757785,"score_gpt":0.473983016034917,"score_spread":0.1053008183591385,"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."}}