{"id":"W2890518845","doi":"","title":"How Loud is the Scream of a Clickstream? Insights from Big Data Analysis.","year":2018,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Clickstream; Big data; Computer science; Data science; World Wide Web; Data mining; The Internet; Web 2.0","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":[0.001232879,0.0000979912,0.0002874797,0.0002817359,0.0002322917,0.0008917009,0.001195632,0.00006495336,0.000007462108],"category_scores_gemma":[0.001070972,0.0000511964,0.0001850992,0.001120741,0.00003808959,0.004563102,0.0002066689,0.0001004126,0.00003015429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007069722,"about_ca_system_score_gemma":0.00004581319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004734708,"about_ca_topic_score_gemma":0.0001178655,"domain_scores_codex":[0.9983009,0.00002724433,0.0007895902,0.00007156037,0.0006999059,0.0001108398],"domain_scores_gemma":[0.9925375,0.0001652712,0.004710863,0.0005779903,0.002000225,0.000008161377],"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":[0.0003371933,0.0001877324,0.1484498,0.0004959431,0.006108489,3.404031e-7,0.003163651,0.000625672,0.0003704403,0.02672044,0.7870226,0.02651772],"study_design_scores_gemma":[0.0003961918,0.00001125963,0.02169046,0.00009763516,0.0008684883,0.000001286773,0.001662693,0.01321035,0.00027017,0.0005427781,0.9611503,0.00009838727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5091733,0.001736652,0.3134939,0.05844941,0.05241904,0.004895887,0.004683046,0.0001738432,0.05497488],"genre_scores_gemma":[0.9958436,0.00001228368,0.00004266183,0.0006827422,0.002899125,0.000002782283,0.0001590192,0.000004695291,0.0003530521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4866703,"threshold_uncertainty_score":0.8598692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08670098661047321,"score_gpt":0.277536194875871,"score_spread":0.1908352082653978,"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."}}