{"id":"W3021976419","doi":"10.1101/2020.04.25.20079814","title":"Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Vector Institute; Hospital for Sick Children","funders":"","keywords":"Thematic analysis; Transparency (behavior); Qualitative property; Public health; Focus group; Qualitative research; Psychology; Health care; Perception; Applied psychology; Medical education; Computer science; Medicine; Nursing; Political science; Sociology; Marketing; Business; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05545568,0.0007197123,0.001048744,0.001973511,0.01364085,0.005671075,0.002372242,0.003219584,0.004124403],"category_scores_gemma":[0.07027879,0.001021318,0.0005684727,0.001622881,0.0195878,0.007244483,0.008704848,0.006094965,0.0004737028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01118056,"about_ca_system_score_gemma":0.01209029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01582949,"about_ca_topic_score_gemma":0.01453914,"domain_scores_codex":[0.9539343,0.03794876,0.0008722736,0.001336826,0.002271793,0.003636101],"domain_scores_gemma":[0.8847991,0.08997387,0.006237134,0.00214378,0.007467827,0.009378249],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003459287,0.00002894052,0.001810052,0.0001089158,0.000002838356,0.0003127568,0.9947819,0.00001561555,0.0003374371,0.0008675867,0.0004332135,0.001266134],"study_design_scores_gemma":[0.000004410285,0.00004127004,0.0005753567,0.0001237554,0.000002563973,0.00009761367,0.9943838,0.00004098759,0.0001001046,0.0003241741,0.004295999,0.000009949807],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754561,0.0008176924,0.003573637,0.01256945,0.0001990866,0.0004487069,0.0002394356,0.00003721231,0.006658778],"genre_scores_gemma":[0.9936795,0.0004590285,0.0008396356,0.002856692,0.00004325306,0.000412507,0.00005821207,0.00002932037,0.00162184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9445443,"threshold_uncertainty_score":0.2932811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8429298013204962,"score_gpt":0.6644631345606451,"score_spread":0.1784666667598511,"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."}}