{"id":"W3114433095","doi":"10.1145/3250638","title":"Session details: Session 1","year":2013,"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; 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":[0.00196994,0.00143787,0.00183085,0.0009601544,0.002777901,0.005927446,0.001719994,0.004509544,0.9210028],"category_scores_gemma":[0.006136835,0.0004401882,0.001438615,0.0008216203,0.0003289293,0.00276279,0.003067164,0.003869584,0.8342048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015099,"about_ca_system_score_gemma":0.002177365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001874228,"about_ca_topic_score_gemma":0.00401257,"domain_scores_codex":[0.9991843,0.000136689,0.00004279018,0.0002259156,0.0002333128,0.0001769827],"domain_scores_gemma":[0.9957626,0.0005173957,0.000131302,0.0003432664,0.001500577,0.001744909],"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":[0.0001329419,0.00003015213,0.00004043295,0.0001145814,0.000004598083,0.00001682833,0.00001247274,0.00001890285,0.0001677656,0.0003963795,0.9868805,0.01218434],"study_design_scores_gemma":[0.00005079143,0.00004161403,0.0003014939,0.0001044974,0.000006234242,0.00003405581,0.00003736253,0.00004858556,0.0001433899,0.0006355235,0.9985869,0.00000948522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00124189,0.003706065,0.00339085,0.01870721,0.0957977,0.00210416,0.03130654,0.006513348,0.8372323],"genre_scores_gemma":[0.004653579,0.001460039,0.0007815099,0.003933002,0.008897286,0.0007527967,0.007991347,0.001391932,0.9701385],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07899719,"threshold_uncertainty_score":0.1126799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506952691607997,"score_gpt":0.2094157054589092,"score_spread":0.1643461785428293,"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."}}