{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003638442,0.00004211858,0.00009251577,0.0002409124,0.000726547,0.0002515577,0.0002340594,0.00005424039,0.0003412252],"category_scores_gemma":[0.001101959,0.00003389434,0.00002926198,0.0002397007,0.001191613,0.0005234288,0.000007472589,0.0004230026,0.00001218944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004580126,"about_ca_system_score_gemma":0.004266709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312702,"about_ca_topic_score_gemma":0.005248551,"domain_scores_codex":[0.9984618,0.0004586073,0.0002181152,0.00004320369,0.0004439405,0.0003743259],"domain_scores_gemma":[0.9978328,0.0003891625,0.00007738948,0.00007435761,0.0006467655,0.0009794763],"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":[0.000008104107,0.0000561444,0.02113813,0.00001527819,0.00001324432,0.000007669288,0.1831838,0.00000356591,0.00004810015,0.07816803,0.111976,0.6053819],"study_design_scores_gemma":[0.0002105477,0.0001103593,0.1262839,0.001467654,0.00001118643,0.00003684123,0.6191806,0.00004197841,0.00001966742,0.2218384,0.03064938,0.0001495023],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936663,0.000590363,0.0001814885,0.05918572,0.0008800876,0.0001469563,0.000003099872,0.00000198294,0.04534406],"genre_scores_gemma":[0.992737,0.00004943781,0.004303346,0.0000820179,0.0003754305,0.000002412647,6.318562e-7,0.000004729436,0.002444982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6052324,"threshold_uncertainty_score":0.9934446,"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."}}