{"id":"W2892492175","doi":"10.1145/3257629","title":"Session details: Onward! 2009: Onward! full papers","year":2009,"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 Victoria","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":[0.001528301,0.0008465202,0.001819036,0.0009919623,0.003060879,0.006850944,0.001796101,0.00506459,0.9173564],"category_scores_gemma":[0.004771222,0.0004153049,0.001252661,0.001087181,0.0003556199,0.003068836,0.00265744,0.003366494,0.8384807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651166,"about_ca_system_score_gemma":0.002320034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004778094,"about_ca_topic_score_gemma":0.01480897,"domain_scores_codex":[0.9993918,0.00006767344,0.00002257986,0.0001107872,0.0002401388,0.0001668948],"domain_scores_gemma":[0.9961553,0.0004044055,0.00008332638,0.0003269698,0.001390286,0.001639639],"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":[0.00006979473,0.00002274149,0.00003057341,0.00003508891,0.000001537217,0.00001177542,0.00000657827,0.000007071291,0.00004960145,0.0002069001,0.9943674,0.005191],"study_design_scores_gemma":[0.00005877046,0.00003155398,0.0007520381,0.00007857594,0.000004247621,0.00001453663,0.00004646382,0.00003853585,0.0001355971,0.0004738194,0.998356,0.000009822025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001141506,0.001483373,0.0007201671,0.01841066,0.0414534,0.0008393142,0.02944306,0.003403875,0.9031047],"genre_scores_gemma":[0.002575852,0.0004704544,0.0001856433,0.002017599,0.002302733,0.0001605472,0.00518067,0.0007586583,0.9863478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08264357,"threshold_uncertainty_score":0.117881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03227382061078137,"score_gpt":0.2079209924397473,"score_spread":0.1756471718289659,"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."}}