{"id":"W4402273598","doi":"10.1016/j.ajpe.2024.100907","title":"Supporting Learner’s Patient Care Process and Clinical Reasoning in Clinical Placements Using the SNAPPS Approach","year":2024,"lang":"en","type":"article","venue":"American Journal of Pharmaceutical Education","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Process (computing); Patient care; Medical education; Psychology; Computer science; Medicine; Nursing; Programming language","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":[0.002528374,0.0001220567,0.0002748205,0.0001323261,0.0001040325,0.000224896,0.0003192219,0.00003807121,0.000004054635],"category_scores_gemma":[0.0004051005,0.0000845099,0.0001175267,0.0004305474,0.0001575696,0.0003669622,0.000087589,0.0009554449,0.000002119181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001188346,"about_ca_system_score_gemma":0.0007278865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000340014,"about_ca_topic_score_gemma":4.754723e-7,"domain_scores_codex":[0.9974023,0.0006238563,0.001073628,0.0002962468,0.0003419163,0.0002620684],"domain_scores_gemma":[0.9985909,0.0003801729,0.000511379,0.0001305746,0.0002145216,0.000172489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003661368,0.0002234384,0.07236304,0.0000842579,0.00007079411,0.00002042418,0.009858182,0.001153294,0.00002717479,0.004359219,0.00006307133,0.9117405],"study_design_scores_gemma":[0.0009599482,0.002819007,0.0182944,0.002663046,0.0002683311,0.00145909,0.1312844,0.7552098,0.000308821,0.0003367865,0.08560797,0.0007883628],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034225,0.001898666,0.09166024,0.0004501949,0.002096394,0.0001777264,2.870473e-7,0.00001934204,0.000274622],"genre_scores_gemma":[0.9884436,0.00008864066,0.01053188,0.0002673893,0.0006091348,0.000003653174,5.933254e-7,0.00001181789,0.00004325622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9109522,"threshold_uncertainty_score":0.4150985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05888673544772729,"score_gpt":0.4777542059503704,"score_spread":0.4188674705026432,"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."}}