{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0199682,0.0008973535,0.0008143123,0.001718177,0.01226272,0.02138148,0.002044049,0.01046442,0.02888281],"category_scores_gemma":[0.05021413,0.000464916,0.0006729997,0.001066165,0.02358943,0.0273074,0.01747935,0.01631436,0.01166668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005951534,"about_ca_system_score_gemma":0.00703226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774421,"about_ca_topic_score_gemma":0.002194033,"domain_scores_codex":[0.9802525,0.01234881,0.0004889089,0.001993451,0.003371061,0.001545209],"domain_scores_gemma":[0.9619927,0.02148907,0.001962787,0.004050543,0.004944957,0.005559874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005463798,0.00003460032,0.0003329022,0.0001409438,0.00002630818,0.000414116,0.04164731,0.0003011711,0.0004372429,0.7182665,0.1841967,0.05414747],"study_design_scores_gemma":[0.0000161112,0.00003398853,0.0001708058,0.0003928701,0.000008185722,0.0003479138,0.01882567,0.000488281,0.0003671516,0.3308344,0.64849,0.00002462869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01020805,0.01257098,0.04332845,0.6470555,0.01168597,0.0000761319,0.0000793627,0.0004291849,0.2745664],"genre_scores_gemma":[0.6200829,0.008336052,0.02923852,0.1141548,0.01217416,0.0003620304,0.0002575936,0.001025475,0.2143684],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02888281,"threshold_uncertainty_score":0.1056032,"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."}}