{"id":"W36533822","doi":"10.3791/64754","title":"DIANE (Domain Informatics Analytics for Enterprise): a smartly integrated enterprise platform for consumable informatics","year":2012,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Business informatics; IBM; Analytics; Domain (mathematical analysis); Data science; Knowledge management; Enterprise information system; Enterprise software; Enterprise architecture; Business analytics; Business model; Business analysis; Business; Health informatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006705751,0.0005212516,0.0002350589,0.0005272801,0.0003147187,0.0006232258,0.0009308347,0.0003512639,0.005834042],"category_scores_gemma":[0.0008312723,0.000281689,0.0002557551,0.0004808155,0.0003682412,0.001363156,0.00173184,0.0008336067,0.001934886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727514,"about_ca_system_score_gemma":0.0008630041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027903,"about_ca_topic_score_gemma":0.002059615,"domain_scores_codex":[0.999733,0.00004521353,0.00001331502,0.00007088964,0.00009682695,0.00004074159],"domain_scores_gemma":[0.9993605,0.0001493292,0.00006511141,0.0001991283,0.00005637169,0.0001695378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003180742,0.002920898,0.01849169,0.0008254943,0.0001441011,0.0009641199,0.0007129991,0.01555951,0.4548909,0.03325582,0.06768834,0.4013653],"study_design_scores_gemma":[0.000892233,0.003728211,0.04270012,0.0001463496,0.0001527835,0.001439431,0.0004972173,0.1632366,0.4138998,0.02675973,0.3461814,0.0003661153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.440463,0.0006191607,0.4112269,0.001190959,0.0002702957,0.002674921,0.01467433,0.07360629,0.05527415],"genre_scores_gemma":[0.4030977,0.0004792681,0.5574524,0.0004533473,0.00002726606,0.001557015,0.01304475,0.001319856,0.02256843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005834042,"threshold_uncertainty_score":0.01951683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05720024619156368,"score_gpt":0.2846348147852735,"score_spread":0.2274345685937098,"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."}}