{"id":"W599435636","doi":"10.2139/ssrn.2538636","title":"Does Information Traffic Matter to Accounting Information Usefulness? Evidence from Internet Search Data","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"The Internet; Accounting information system; Business; Accounting; Data science; Computer science; Information retrieval; World Wide Web","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":[0.0102618,0.0004315225,0.0007657121,0.005326114,0.0008862114,0.004832411,0.001345027,0.002497358,0.01276325],"category_scores_gemma":[0.1729857,0.0005895442,0.001121125,0.008782964,0.002114553,0.006218345,0.001743217,0.002055068,0.001970154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005626552,"about_ca_system_score_gemma":0.0008463479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193497,"about_ca_topic_score_gemma":0.008474278,"domain_scores_codex":[0.9902839,0.005604238,0.001099447,0.0007385082,0.001675005,0.0005988509],"domain_scores_gemma":[0.4487697,0.447437,0.07260525,0.01280334,0.0126949,0.005689793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009359599,0.0003329483,0.9878306,0.0001827223,0.0004153986,0.0001722858,0.0007116178,0.0002091185,0.00005826526,0.0006256882,0.001098663,0.00742677],"study_design_scores_gemma":[0.00009566398,0.000301452,0.9906347,0.0001964068,0.0007183521,0.0002838628,0.002282503,0.001168943,0.0001546136,0.001891171,0.00224325,0.00002901462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833709,0.00348092,0.000272468,0.00237793,0.00004103124,0.00003126247,0.001693672,0.00001776342,0.008714101],"genre_scores_gemma":[0.9968557,0.001080326,0.00008978586,0.0002653234,0.0001070015,0.00001076462,0.0009462616,0.00001533801,0.000629593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276325,"threshold_uncertainty_score":0.05427015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125564317807546,"score_gpt":0.2241260083525271,"score_spread":0.2115695765717725,"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."}}