{"id":"W4386950853","doi":"10.29173/jpnep30","title":"Practice Implications of the Increasing use of AI in Healthcare – A Reflective Contemplation with a Relational Ethics Lens","year":2023,"lang":"en","type":"article","venue":"Journal of Practical Nurse Education and Practice","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara College","funders":"","keywords":"Contemplation; Lens (geology); Health care; Engineering ethics; Through-the-lens metering; Psychology; Medicine; Epistemology; Philosophy; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003984368,0.00009289364,0.0002376585,0.0002966449,0.00014271,0.00002749191,0.00004802118,0.0001703816,0.000009493698],"category_scores_gemma":[0.09167095,0.0000675941,0.00005072793,0.001088947,0.0001651381,0.002113795,0.00001252404,0.001339017,0.000003046347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894689,"about_ca_system_score_gemma":0.005511068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696025,"about_ca_topic_score_gemma":0.0001566812,"domain_scores_codex":[0.9968197,0.001528484,0.0008764583,0.0001426761,0.000497691,0.0001350337],"domain_scores_gemma":[0.9722667,0.02142771,0.001593058,0.000217581,0.004373066,0.0001218559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02967781,0.008266772,0.444467,0.0009892975,0.0005200874,0.00002960921,0.07648665,0.0003799382,0.01027184,0.3622978,0.01393582,0.05267737],"study_design_scores_gemma":[0.0005089488,0.001694766,0.830372,0.00172771,0.0008161661,0.00766741,0.07392907,0.0003074225,0.001285516,0.0085594,0.07293169,0.0001998559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3043055,0.0001595698,0.000776316,0.6930614,0.0004134418,0.0004189649,0.000003754844,0.000006564489,0.000854583],"genre_scores_gemma":[0.9759859,0.0005086489,0.01666462,0.006572608,0.0001688334,0.00001181701,0.000008471834,0.00001260349,0.00006650318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6864887,"threshold_uncertainty_score":0.9776399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4503728037133152,"score_gpt":0.5820356753671908,"score_spread":0.1316628716538756,"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."}}