{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007642206,0.0004367976,0.0003692301,0.002471738,0.001811073,0.005145063,0.0007294029,0.0007472574,0.004578202],"category_scores_gemma":[0.08102836,0.0002141706,0.0001897972,0.001609192,0.006440778,0.006301458,0.003517209,0.001938692,0.0007152369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373742,"about_ca_system_score_gemma":0.002496566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000811473,"about_ca_topic_score_gemma":0.001338043,"domain_scores_codex":[0.9928605,0.004668124,0.000607563,0.0005191491,0.001122383,0.0002222402],"domain_scores_gemma":[0.9213505,0.06317144,0.005937185,0.003056516,0.005083938,0.001400408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008021583,0.0001533559,0.03201131,0.001547209,0.00003127578,0.003535365,0.5796016,0.0003136093,0.008310699,0.1521198,0.009486193,0.2120873],"study_design_scores_gemma":[0.0001075896,0.0004748705,0.02502603,0.003270592,0.00008789413,0.006207248,0.5328498,0.004988123,0.012571,0.2414189,0.1728455,0.0001524915],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559393,0.004936606,0.03829551,0.02431732,0.00158404,0.0001980228,0.0002497787,0.0003598904,0.07411953],"genre_scores_gemma":[0.9846894,0.0007241014,0.01112336,0.000794743,0.00009273387,0.00005105057,0.00005826222,0.00005097847,0.002415429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007642206,"threshold_uncertainty_score":0.04041636,"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."}}