{"id":"W6939709729","doi":"10.6084/m9.figshare.13534354","title":"Additional file 1 of “AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Institute for Clinical Evaluative Sciences; Vector Institute; Public Health Ontario; University of Toronto; McMaster University","funders":"","keywords":"Qualitative research; Descriptive research; Qualitative analysis; Test (biology); Key (lock); Public access","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":[0.005328214,0.0007201864,0.0009836503,0.002785801,0.002056441,0.001701774,0.00155533,0.001148476,0.8344222],"category_scores_gemma":[0.07579239,0.0006319255,0.0006597341,0.005145796,0.0005238036,0.003402752,0.001423158,0.001650097,0.08499855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00256709,"about_ca_system_score_gemma":0.006232833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170794,"about_ca_topic_score_gemma":0.03065687,"domain_scores_codex":[0.9981896,0.0007476831,0.0003411555,0.0001896863,0.0003545077,0.0001773349],"domain_scores_gemma":[0.9381117,0.05011837,0.002573185,0.001710988,0.006573986,0.0009118327],"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":[0.0001532754,0.00008642636,0.001121367,0.003373245,0.00001207584,0.00004893052,0.000933854,0.0001448477,0.00002299968,0.001661163,0.9833786,0.009063105],"study_design_scores_gemma":[0.004918722,0.0004497551,0.02525473,0.01562603,0.0001226309,0.0004349983,0.01483249,0.001096157,0.0004390219,0.02644929,0.9101069,0.0002691696],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009525759,0.00006368745,0.0008669113,0.0009982624,0.0001009789,0.002855103,0.9886532,0.0001486158,0.005360509],"genre_scores_gemma":[0.03507872,0.00109276,0.02047239,0.005157895,0.0003620611,0.2266843,0.6477044,0.0008950658,0.0625523],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8344222,"threshold_uncertainty_score":0.2361765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6925349758486311,"score_gpt":0.553783841544621,"score_spread":0.1387511343040101,"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."}}