{"id":"W4281746134","doi":"10.3233/shti220155","title":"Towards Automated Screening of Literature on Artificial Intelligence in Nursing","year":2022,"lang":"en","type":"review","venue":"Studies in health technology and informatics","topic":"Topic Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Academy of Finland","keywords":"Computer science; Relevance (law); Artificial intelligence; Set (abstract data type); Focus (optics); Process (computing); Machine learning; Natural language processing; Data science; Information retrieval","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"],"consensus_categories":[],"category_scores_codex":[0.0164056,0.0008780645,0.001750084,0.01867378,0.0004134077,0.002567844,0.00118689,0.0008233602,0.001491365],"category_scores_gemma":[0.02687251,0.0004853804,0.001470874,0.009272923,0.0003315614,0.002221681,0.0009705945,0.0007130916,0.0009805948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088371,"about_ca_system_score_gemma":0.004103494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609415,"about_ca_topic_score_gemma":0.005456622,"domain_scores_codex":[0.9933547,0.003405039,0.0007645324,0.0003480217,0.00200722,0.0001206477],"domain_scores_gemma":[0.9716542,0.01667399,0.003157434,0.0006423524,0.007615393,0.0002566171],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000681772,0.00007676005,0.001947975,0.0274231,0.0004920447,0.00005243494,0.0001561763,0.0006574411,0.001466099,0.0006659894,0.004087571,0.9629064],"study_design_scores_gemma":[0.000409699,0.002502104,0.09608862,0.1523449,0.01654013,0.002683222,0.001390989,0.03163573,0.01785645,0.01332023,0.6648719,0.0003560498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007205703,0.9750289,0.01285455,0.001081285,0.000306387,0.0004430083,0.0002658534,0.0001915878,0.002622833],"genre_scores_gemma":[0.06295653,0.8614067,0.07059816,0.0009089043,0.0005503008,0.0009345354,0.001386791,0.00004792781,0.00121021],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9835944,"threshold_uncertainty_score":0.08676213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1467779942212781,"score_gpt":0.4490636340029064,"score_spread":0.3022856397816283,"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."}}