{"id":"W2132923569","doi":"10.1002/meet.2009.1450460144","title":"Disruptive technologies in health information landscapes: The case of diabetes and HbA1c","year":2009,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Session (web analytics); Viewpoints; Multidisciplinary approach; Blogosphere; Panel discussion; Knowledge management; Computer science; Data science; Sociology; Business; World Wide Web; Advertising; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.0007633267,0.00006779327,0.000142409,0.0003062589,0.0002456692,0.00008494759,0.0003048808,0.00002723413,2.850043e-7],"category_scores_gemma":[0.0005795502,0.00004094085,0.00003416785,0.002479538,0.001348603,0.002797627,0.0001947298,0.00008679509,5.555902e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002270199,"about_ca_system_score_gemma":0.00003369486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000381263,"about_ca_topic_score_gemma":0.000006660536,"domain_scores_codex":[0.9993651,4.631109e-7,0.0002777758,0.00006984452,0.000111623,0.000175216],"domain_scores_gemma":[0.9986192,0.00003246861,0.0006270982,0.00006516962,0.0006518224,0.000004237032],"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":[0.0000111124,0.00002053444,0.03311731,0.0003211414,0.000009658942,2.194127e-8,0.003143292,0.000002352502,0.0009296151,0.3475375,0.0004787279,0.6144288],"study_design_scores_gemma":[0.001027877,0.0006452263,0.03977493,0.0004748093,0.00005156065,0.0000488222,0.7366632,0.0391454,0.01856674,0.1106898,0.05238129,0.0005303498],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884486,0.00006338973,0.00006719365,0.01020577,0.00001683402,0.0003211057,0.000003177957,0.00004773835,0.000826142],"genre_scores_gemma":[0.9988106,0.00008436728,0.0003343309,0.0007432106,0.0000064793,0.00001849042,4.659945e-7,9.729695e-7,0.000001120174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7335199,"threshold_uncertainty_score":0.4968986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008586618134266156,"score_gpt":0.2545754907972596,"score_spread":0.2459888726629935,"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."}}