{"id":"W2762438518","doi":"10.21810/strm.v9i2.242","title":"MA Defence: Challenging Knowledge Divides","year":2017,"lang":"en","type":"article","venue":"Stream Interdisciplinary Journal of Communication","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Harbour; Knowledge translation; Computer science; Knowledge management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007192342,0.0001068961,0.0002496417,0.0001609679,0.001000714,0.0000842454,0.0006249341,0.00008334136,0.00007863619],"category_scores_gemma":[0.000296981,0.00008897455,0.0001520421,0.00005129699,0.0001934974,0.0004824123,0.000415504,0.0004277961,0.00004056112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406633,"about_ca_system_score_gemma":0.0001673866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003394085,"about_ca_topic_score_gemma":0.00006901476,"domain_scores_codex":[0.998868,0.00008648487,0.0006198453,0.00009606742,0.0001700574,0.0001595803],"domain_scores_gemma":[0.9973466,0.0001835153,0.0007270204,0.00101695,0.0005878055,0.000138064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006770549,0.00109102,0.09505112,0.0002111124,0.0001908187,0.00003161006,0.03288206,0.00005802782,0.001480473,0.002267401,0.004317279,0.861742],"study_design_scores_gemma":[0.001068301,0.005098158,0.6961005,0.013018,0.0007231156,0.002963876,0.09236193,0.005015819,0.04492827,0.1274115,0.01040451,0.0009059262],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505124,0.003830903,0.0008404067,0.01586909,0.0006016304,0.00015776,0.000001344196,0.00001682872,0.02816965],"genre_scores_gemma":[0.996907,0.001387868,0.0009402972,0.00002968729,0.0003833673,0.000005601617,0.000006460863,0.0000138247,0.0003258888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8608361,"threshold_uncertainty_score":0.7696782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1720661287527832,"score_gpt":0.4911725709963963,"score_spread":0.3191064422436131,"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."}}