{"id":"W3116510000","doi":"10.1145/3250838","title":"Session details: Keynote 4","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Session (web analytics); Computer science; 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":[0.001731057,0.001040743,0.001374813,0.0008359003,0.0029319,0.005961905,0.001476533,0.004421702,0.8884124],"category_scores_gemma":[0.005735536,0.0003563921,0.001063903,0.0008627216,0.000351171,0.002688597,0.002686829,0.004343718,0.7903535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156776,"about_ca_system_score_gemma":0.001990382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714647,"about_ca_topic_score_gemma":0.005666296,"domain_scores_codex":[0.9992142,0.000100394,0.00003588101,0.0001922343,0.0002548129,0.0002025527],"domain_scores_gemma":[0.9973916,0.0004275909,0.00008190222,0.0002042928,0.0009557363,0.0009388736],"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":[0.00008018524,0.00001521746,0.00002324668,0.00004498972,0.000001874233,0.0000159367,0.000008278249,0.00001080631,0.00007884894,0.0005338421,0.994018,0.005168775],"study_design_scores_gemma":[0.0000449069,0.00002853101,0.0002957133,0.00007514089,0.000004659324,0.00002119911,0.00005360688,0.00004842973,0.0001234221,0.0007952724,0.9985007,0.000008490994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007682776,0.001707187,0.001516726,0.02535228,0.09900898,0.000871259,0.01684426,0.002768024,0.8511629],"genre_scores_gemma":[0.003523245,0.0005988457,0.0002615869,0.004119785,0.007597393,0.0002806129,0.003277008,0.0006703893,0.9796712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1115876,"threshold_uncertainty_score":0.1591662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04848116699306688,"score_gpt":0.207509851283692,"score_spread":0.1590286842906251,"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."}}