{"id":"W6977547160","doi":"10.6084/m9.figshare.26732557","title":"Additional file 1 of Understanding contextual and practical factors to inform WHO recommendations on using chest imaging to monitor COVID-19 pulmonary sequelae: a qualitative study exploring stakeholders’ perspective","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Perspective (graphical); Qualitative research; Qualitative analysis; Qualitative property","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006545569,0.0004592418,0.0006541506,0.001549727,0.002109387,0.001597371,0.001239148,0.001054742,0.7254949],"category_scores_gemma":[0.05235686,0.0003881662,0.0003628766,0.002739209,0.0005133103,0.003475452,0.00166198,0.00147986,0.06468935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003033872,"about_ca_system_score_gemma":0.00521895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356183,"about_ca_topic_score_gemma":0.0220705,"domain_scores_codex":[0.9983248,0.0009915862,0.0001803364,0.0001236913,0.0001898564,0.0001897963],"domain_scores_gemma":[0.9274715,0.06513311,0.00127041,0.001009777,0.004121248,0.0009939703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001214255,0.0001543853,0.001722886,0.003197971,0.000005185064,0.0001611501,0.01861997,0.0001917687,0.00008537152,0.003303136,0.9482403,0.0241964],"study_design_scores_gemma":[0.0008843204,0.0003137546,0.01442248,0.008736702,0.00003398858,0.0004259013,0.1099487,0.001068895,0.0004141676,0.01634289,0.8472754,0.0001327927],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01234708,0.0003069614,0.00544333,0.01063207,0.0004262794,0.009618625,0.9031073,0.0006714635,0.0574469],"genre_scores_gemma":[0.2134771,0.003370543,0.06267486,0.0189581,0.000774004,0.1983982,0.2726824,0.001964618,0.2277001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7254949,"threshold_uncertainty_score":0.3915482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4441663101055965,"score_gpt":0.4057106977323987,"score_spread":0.03845561237319778,"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."}}