{"id":"W2413918082","doi":"10.7748/ns.21.50.61.s53","title":"Student life - dealing with differences","year":2007,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Mary's Hospital","funders":"","keywords":"Student life; Psychology; Medical education; Gerontology; Computer science; Medicine; Library science","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":[0.01319063,0.000704832,0.0008010929,0.0009338568,0.02163353,0.01519417,0.002326301,0.0122816,0.03957429],"category_scores_gemma":[0.03734517,0.0003912562,0.001135751,0.0007636153,0.01416898,0.0165706,0.02300529,0.02474477,0.008642801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00470939,"about_ca_system_score_gemma":0.01128073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004633323,"about_ca_topic_score_gemma":0.01180608,"domain_scores_codex":[0.9806363,0.009372917,0.0005494696,0.00115254,0.003910598,0.004378284],"domain_scores_gemma":[0.9506177,0.004258786,0.001415607,0.002256378,0.005718266,0.03573326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004542977,0.0003008369,0.006741199,0.00008785492,0.00003513357,0.0004002671,0.01906876,0.00006355168,0.0001686312,0.03140509,0.879438,0.06224525],"study_design_scores_gemma":[0.00003584365,0.0001791925,0.004518061,0.0004225491,0.00001651123,0.0008751576,0.08357103,0.0001335335,0.0001723077,0.02325176,0.8867635,0.00006050085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01333082,0.003290527,0.0008908552,0.8864747,0.03847836,0.00001810961,0.00003855702,0.0001191194,0.05735903],"genre_scores_gemma":[0.2341204,0.004465532,0.001382192,0.596441,0.01784006,0.000096848,0.0001347235,0.0003589638,0.1451604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03957429,"threshold_uncertainty_score":0.1323892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05110021091961907,"score_gpt":0.4780021474495685,"score_spread":0.4269019365299495,"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."}}