{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00161218,0.00101325,0.001043202,0.001099586,0.002058424,0.006051172,0.001799608,0.004423529,0.8512257],"category_scores_gemma":[0.006780529,0.0003767104,0.001362654,0.00104053,0.0003641911,0.002612312,0.002562902,0.003841451,0.7158102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895759,"about_ca_system_score_gemma":0.003671433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264022,"about_ca_topic_score_gemma":0.006001809,"domain_scores_codex":[0.9990791,0.0001255158,0.00004712335,0.0001827789,0.000356593,0.0002088882],"domain_scores_gemma":[0.9961656,0.0004251834,0.0001336805,0.0002378803,0.001458228,0.001579313],"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":[0.00004326386,0.000009909049,0.00001521052,0.00007324939,0.00000174081,0.00001356491,0.000003686828,0.000008636935,0.00004182717,0.0002696922,0.9922333,0.007285945],"study_design_scores_gemma":[0.00002877187,0.00001760551,0.0001732978,0.000105372,0.000003306326,0.00002767822,0.00001976267,0.00001840318,0.00006968118,0.0003410203,0.9991904,0.000004716594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000645827,0.007365996,0.001183765,0.05351394,0.2015318,0.001192175,0.03265732,0.002789268,0.6991199],"genre_scores_gemma":[0.003084207,0.003575233,0.0004042863,0.00970507,0.02622558,0.0003673688,0.007726481,0.001007555,0.9479043],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1487743,"threshold_uncertainty_score":0.2122083,"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."}}