{"id":"W2010968838","doi":"10.2118/2000-019-ea","title":"The Digital Government: How Well Test Data Capture is Changing the Way We Do Business","year":2000,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Digital government; Computer science; Government (linguistics); World Wide Web; Digital transformation; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002440864,0.0002579713,0.0001347731,0.0001185124,0.0006856152,0.004854504,0.003353382,0.00007826936,0.00515507],"category_scores_gemma":[0.0003205959,0.0001683159,0.00004703225,0.0004758929,0.0002236844,0.002173572,0.0004083583,0.0002635967,0.001606206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001393469,"about_ca_system_score_gemma":0.000163563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009903948,"about_ca_topic_score_gemma":0.04359834,"domain_scores_codex":[0.9980608,0.000005910247,0.000217264,0.0004879961,0.0006859596,0.0005421363],"domain_scores_gemma":[0.9984109,0.0001387722,0.000146947,0.0009517646,0.0002976605,0.0000538914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000846888,0.0001016762,0.03407625,0.00009244415,0.0002269853,0.0001150774,0.0002709488,0.000228419,0.00003877136,0.09057596,0.6312235,0.2429653],"study_design_scores_gemma":[0.0001156821,0.000001770197,0.004411035,0.00008466058,0.00001994889,0.0000137802,0.0005201127,0.02468835,0.000005212756,0.000534329,0.9693694,0.0002357882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04952161,0.0006820707,0.0006829494,0.3275687,0.003248568,0.0003938321,0.003708067,0.0001239016,0.6140703],"genre_scores_gemma":[0.9556488,0.0002590277,0.000005944736,0.003228839,0.001459309,0.00001777882,0.0004496402,0.00002520966,0.0389054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9061272,"threshold_uncertainty_score":0.9991711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841361427263962,"score_gpt":0.2296192496460522,"score_spread":0.1912056353734125,"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."}}