{"id":"W3114646089","doi":"10.1145/3252364","title":"Session details: Notes! Notes! Notes!","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":"University of Waterloo","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":[0.001871885,0.0007487814,0.001278071,0.0007017152,0.002660087,0.005289328,0.001321884,0.003039285,0.9324654],"category_scores_gemma":[0.01154901,0.0003109563,0.0009322952,0.000907672,0.0003835952,0.002731249,0.002371882,0.00339583,0.869728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511306,"about_ca_system_score_gemma":0.002314002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00438252,"about_ca_topic_score_gemma":0.007010322,"domain_scores_codex":[0.9991961,0.0001167639,0.00003363853,0.0001542182,0.0003399912,0.0001593598],"domain_scores_gemma":[0.9936612,0.001252209,0.0001853551,0.0006901572,0.002316331,0.001894653],"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":[0.00004685594,0.00001560594,0.00002702793,0.00002696428,0.000001176188,0.000008124222,0.000008227486,0.000008201056,0.00003634235,0.0003633059,0.9946573,0.004800845],"study_design_scores_gemma":[0.00004418536,0.00002112347,0.0004478732,0.00006543369,0.000003194921,0.00002161374,0.00007136282,0.00005109754,0.0001185852,0.0008394533,0.9983065,0.000009482176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007810431,0.001070541,0.001369002,0.02546173,0.04450995,0.0008172369,0.03152018,0.003278686,0.8911917],"genre_scores_gemma":[0.004973995,0.0006593831,0.00040643,0.00430698,0.005099955,0.0004193959,0.006281436,0.001128685,0.9767238],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06753457,"threshold_uncertainty_score":0.09632981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1259195189228673,"score_gpt":0.2431898492702776,"score_spread":0.1172703303474103,"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."}}