{"id":"W2885525705","doi":"10.1145/3260483","title":"Session details: Session 7","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; 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":[0.00184981,0.001310475,0.001663989,0.0009439879,0.00273833,0.006605307,0.00164735,0.004141269,0.913303],"category_scores_gemma":[0.005268398,0.000422373,0.001449253,0.0007820439,0.000343382,0.002665458,0.003144339,0.003939132,0.846896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488334,"about_ca_system_score_gemma":0.002271293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327353,"about_ca_topic_score_gemma":0.005328087,"domain_scores_codex":[0.9992015,0.0001272196,0.00003899599,0.0001993447,0.0002398082,0.0001933055],"domain_scores_gemma":[0.996111,0.000403083,0.000106559,0.0003211513,0.001445799,0.001612452],"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":[0.0001093863,0.00002901169,0.00004059675,0.00009206138,0.000004456625,0.00001664177,0.00001286596,0.0000183375,0.0001821057,0.000477725,0.9882748,0.01074195],"study_design_scores_gemma":[0.00004075136,0.00003639239,0.0002888747,0.0000901762,0.000006064316,0.0000261145,0.00003999896,0.00004821778,0.0001684883,0.0006385876,0.9986072,0.000009089737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001005022,0.002305581,0.002717858,0.01355281,0.07061268,0.001464666,0.02438583,0.005638569,0.878317],"genre_scores_gemma":[0.004050397,0.0009924817,0.0006588679,0.003119991,0.006492547,0.0004917193,0.007028889,0.001402846,0.9757624],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08669698,"threshold_uncertainty_score":0.1236627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023096005717407,"score_gpt":0.2385790506782396,"score_spread":0.1362694501064989,"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."}}