{"id":"W2601873572","doi":"","title":"Discourse / Discours - Informatics and Interprofessionality","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Nursing Research","topic":"Educational Tools and Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Informatics; Health informatics; Psychology; Sociology; Medicine; Political science; Nursing; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01277856,0.000566377,0.0006483868,0.003850964,0.009603713,0.01327208,0.001313633,0.002922216,0.008525277],"category_scores_gemma":[0.03906315,0.0004739914,0.000499446,0.002696387,0.02337035,0.008809885,0.01047499,0.005778885,0.0008766355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008159543,"about_ca_system_score_gemma":0.01046639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006008486,"about_ca_topic_score_gemma":0.007087148,"domain_scores_codex":[0.9822904,0.01241671,0.0008792133,0.0008773931,0.002641243,0.0008949985],"domain_scores_gemma":[0.9254719,0.05808849,0.005665902,0.002926994,0.004725401,0.003121195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008196836,0.0001553093,0.008786703,0.000531297,0.00001485865,0.0004284245,0.4914822,0.000106154,0.0007500618,0.466388,0.003143338,0.02813162],"study_design_scores_gemma":[0.00005970915,0.0001014882,0.01281915,0.002537423,0.00006391742,0.001296269,0.6118793,0.0009178561,0.002507259,0.1736121,0.1941285,0.00007697379],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3181557,0.009124313,0.01963255,0.0771808,0.001459882,0.0002391976,0.0002059173,0.0001892894,0.5738124],"genre_scores_gemma":[0.9838253,0.001271349,0.002227867,0.001450299,0.0002188973,0.0001672528,0.00006303606,0.00005257355,0.01072344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01327208,"threshold_uncertainty_score":0.06758034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2192803493587418,"score_gpt":0.580706420040951,"score_spread":0.3614260706822092,"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."}}