{"id":"W2036884390","doi":"10.1016/j.ijmedinf.2010.10.020","title":"The use of conferencing technologies to support drug policy group knowledge exchange processes: An action case approach","year":2010,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Rural Health Research Society; University of British Columbia; BC Children's Hospital; University of Victoria","funders":"","keywords":"Action (physics); Group (periodic table); Knowledge management; Drug; Computer science; Business; Process management; Chemistry; Medicine; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0053396,0.0001061195,0.0002088265,0.0005330549,0.0003424768,0.00007079449,0.001125196,0.0001780865,0.0001303643],"category_scores_gemma":[0.01690867,0.00006714455,0.00004021833,0.0004357245,0.0002158822,0.001155892,0.000312485,0.001175112,0.00002732083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865595,"about_ca_system_score_gemma":0.003719847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003394849,"about_ca_topic_score_gemma":0.002433269,"domain_scores_codex":[0.9959137,0.0002035636,0.001886863,0.00006434594,0.001587578,0.0003439003],"domain_scores_gemma":[0.9937217,0.002151073,0.001356013,0.000204596,0.002189661,0.0003769317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002007395,0.0003594465,0.004544841,0.001468104,0.000140629,0.00009419829,0.3320358,0.00003163295,0.0002370209,0.02898014,0.07292946,0.558978],"study_design_scores_gemma":[0.002251947,0.0004718916,0.0007402939,0.0004893421,0.00002399217,0.002759597,0.1866302,0.01072956,0.0003795276,0.0009835967,0.7943002,0.0002397865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93182,0.000008685068,0.03204093,0.03157911,0.002611367,0.0005850396,0.00006751026,0.00006051369,0.001226801],"genre_scores_gemma":[0.9824603,0.0002072494,0.0117376,0.00465223,0.0007683713,0.00004094399,0.000007226025,0.00001003704,0.0001160566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7213708,"threshold_uncertainty_score":0.9913723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.605316516166058,"score_gpt":0.6555199651861329,"score_spread":0.0502034490200749,"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."}}