{"id":"W3116763321","doi":"10.1145/3255094","title":"Session details: Technical Papers","year":2015,"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":"York University","funders":"","keywords":"Session (web analytics); Computer science; Multimedia; 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":[0.002823123,0.001111715,0.001527509,0.002024704,0.002025755,0.007661765,0.001524712,0.003136629,0.8832788],"category_scores_gemma":[0.00995929,0.0004195053,0.00114159,0.002494425,0.0003610677,0.003685958,0.002298845,0.002771002,0.8680561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284092,"about_ca_system_score_gemma":0.00278233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034343,"about_ca_topic_score_gemma":0.003311688,"domain_scores_codex":[0.998643,0.0001955598,0.00008772306,0.0003208149,0.0005443881,0.0002084717],"domain_scores_gemma":[0.9918382,0.001167341,0.0002919754,0.001264513,0.003273924,0.002164084],"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":[0.00003419274,0.00001601118,0.00003060254,0.00006370226,0.000002802533,0.000007543194,0.000006236583,0.0000207154,0.00008075414,0.0006216536,0.9884418,0.01067393],"study_design_scores_gemma":[0.00002535721,0.00001771897,0.0003305282,0.00008217819,0.000004348312,0.00001447613,0.00002484542,0.00004793311,0.0001353511,0.0009104452,0.9984006,0.000006157924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009239485,0.004872936,0.003422475,0.02178344,0.06946609,0.0009403127,0.06816289,0.005109173,0.8253187],"genre_scores_gemma":[0.003871747,0.001712536,0.000853184,0.00218285,0.006722473,0.0002665913,0.01777699,0.001696893,0.9649168],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1167212,"threshold_uncertainty_score":0.1664886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07756952574183001,"score_gpt":0.2293215597461496,"score_spread":0.1517520340043196,"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."}}