{"id":"W4383227129","doi":"10.1136/leader-2022-000697","title":"Thematic analysis of tools for health innovators and organisation leaders to develop digital health solutions fit for climate change","year":2023,"lang":"en","type":"article","venue":"BMJ Leader","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Thematic analysis; Sustainability; Digital health; Knowledge management; Engineering ethics; Business; Qualitative research; Public relations; Engineering; Sociology; Political science; Computer science; Health care; Social 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":[0.0009378584,0.0001204258,0.0003562215,0.0002476893,0.0002839605,0.00004461965,0.00008320237,0.00004740631,0.00006741346],"category_scores_gemma":[0.0003983531,0.0001116437,0.00004699301,0.002045299,0.00006798023,0.000327295,0.0000862115,0.00003955862,0.00006954814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184632,"about_ca_system_score_gemma":0.00006089777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008755994,"about_ca_topic_score_gemma":0.0004968924,"domain_scores_codex":[0.9984065,0.00002084292,0.0004695251,0.0002561493,0.0001850016,0.0006619481],"domain_scores_gemma":[0.9991534,0.0002561088,0.0002175846,0.0001659183,0.00003062565,0.0001763386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002501121,0.0003765372,0.06836472,0.006909324,0.0003891532,0.000001307949,0.2247715,0.0009647138,0.0007323337,0.00249998,0.1827825,0.5119578],"study_design_scores_gemma":[0.002736618,0.002224684,0.8491806,0.0007770794,0.0002968333,0.000008979934,0.1049492,0.02337926,0.000264094,0.001454976,0.01350766,0.001220072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8251478,0.00009505047,0.006660974,0.1604776,0.0001488269,0.005714211,0.001527776,0.0001369445,0.00009084438],"genre_scores_gemma":[0.9851445,0.0001482846,0.002600486,0.01064901,0.00009008076,0.0006962246,0.0005391144,0.00003713378,0.00009516989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7808158,"threshold_uncertainty_score":0.4552699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4242146598016288,"score_gpt":0.4439981294637763,"score_spread":0.0197834696621475,"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."}}