{"id":"W4400348071","doi":"10.1097/nne.0000000000001696","title":"Artificial Intelligence or Nursing Student? Revisiting Clues in the Connectives","year":2024,"lang":"en","type":"article","venue":"Nurse Educator","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Key (lock); Certainty; Replication (statistics); Computer science; Generative grammar; Term (time); Function (biology); Replicate; Psychology; Institution; Artificial intelligence; Linguistics; Natural language processing; Mathematics education; Medicine; Epistemology; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008152561,0.0001498838,0.0002023738,0.0002212097,0.0001540066,0.0001600718,0.0001650738,0.00009118165,0.0004278759],"category_scores_gemma":[0.0005967206,0.000096991,0.00007609874,0.0007643148,0.0001497803,0.0001538537,0.000006551493,0.000449799,0.0003465937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746799,"about_ca_system_score_gemma":0.0007971681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001668784,"about_ca_topic_score_gemma":0.00005554311,"domain_scores_codex":[0.9983625,0.0001401421,0.0005106732,0.0003566212,0.0002857289,0.0003443743],"domain_scores_gemma":[0.9986566,0.0008185183,0.00004593283,0.0002849906,0.00009064137,0.0001032985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001269233,0.0004748039,0.005243069,0.0001809469,0.00001905246,0.00006170613,0.1115596,0.000004322592,0.0002791116,0.02078149,0.002090664,0.8591784],"study_design_scores_gemma":[0.00001916022,0.000596099,0.01346626,0.005458883,0.0001680486,0.0003526703,0.9208614,0.001361136,0.01769017,0.027912,0.0117188,0.0003953549],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489307,0.003032277,0.0003264204,0.03925506,0.004179034,0.0006873131,0.00000225895,0.00009943792,0.003487547],"genre_scores_gemma":[0.9945509,0.0001104067,0.0002757953,0.0008257893,0.003822274,0.00008792004,0.000008842682,0.00002374908,0.0002943211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.858783,"threshold_uncertainty_score":0.4684941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2306453132611975,"score_gpt":0.5354634847636756,"score_spread":0.3048181715024781,"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."}}