{"id":"W3092604268","doi":"10.1145/3261509","title":"Session details: Highlights","year":2017,"lang":"en","type":"article","venue":"GetMobile Mobile Computing and Communications","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Session (web analytics); Computer science; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004826681,0.0001183573,0.0002721403,0.00007224653,0.002462551,0.0003827948,0.001056211,0.00005403279,0.000297977],"category_scores_gemma":[0.00006585412,0.000128322,0.00007020268,0.00004228287,0.0003955307,0.00023024,0.001289808,0.0001207597,0.001998194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003309833,"about_ca_system_score_gemma":0.000009523334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001722462,"about_ca_topic_score_gemma":0.00001869048,"domain_scores_codex":[0.9990227,0.00001654219,0.0003665908,0.000352979,0.00002075834,0.0002204626],"domain_scores_gemma":[0.9973258,0.00008318251,0.0003915723,0.002092046,0.00003273663,0.00007465712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009303718,0.0004127536,0.07286,0.0000565247,0.0002017422,0.000002732553,0.004822779,0.0002319458,0.00004037343,0.8127686,0.061155,0.04743822],"study_design_scores_gemma":[0.0004402015,0.00003615953,0.02342603,0.00004598083,0.000009620219,0.000004631526,0.0008273104,0.01124009,0.00001925221,0.00748754,0.9561633,0.0002999271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2451096,0.01279795,0.001504963,0.002257218,0.002299454,0.0005960442,0.00019006,0.0002135128,0.7350312],"genre_scores_gemma":[0.9799089,0.001560863,0.001893256,0.00008406706,0.00005933784,0.00004612266,0.00001049472,0.00001109278,0.01642586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8950083,"threshold_uncertainty_score":0.9988361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05811050320593337,"score_gpt":0.2717759103660743,"score_spread":0.2136654071601409,"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."}}