{"id":"W3017349957","doi":"10.1145/3257330","title":"Session details: SESSION 6","year":2017,"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":"Carleton 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":[0.002042224,0.001345883,0.001623257,0.0008836401,0.002794079,0.006327192,0.001596608,0.004301042,0.9067147],"category_scores_gemma":[0.005921518,0.0004213244,0.00149195,0.0007376356,0.0003300728,0.002692226,0.00313044,0.004041328,0.8172166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146547,"about_ca_system_score_gemma":0.002255504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196792,"about_ca_topic_score_gemma":0.005146635,"domain_scores_codex":[0.9991888,0.000137654,0.00004137564,0.0002074001,0.0002346886,0.0001901665],"domain_scores_gemma":[0.9958529,0.0004216696,0.0001209027,0.0003131446,0.001478751,0.001812742],"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":[0.0001276261,0.00002970798,0.0000418573,0.0001001892,0.000004717041,0.00001694935,0.00001289518,0.0000195256,0.0001529842,0.0004227885,0.9878919,0.01117893],"study_design_scores_gemma":[0.00005083356,0.00004121301,0.0003070094,0.00009909483,0.000006325545,0.00003014599,0.0000387877,0.00004972229,0.0001480839,0.0006617625,0.9985577,0.000009311259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001223026,0.003209106,0.003186333,0.01938439,0.1033298,0.001814934,0.02784935,0.005924472,0.8340787],"genre_scores_gemma":[0.004794241,0.001258028,0.0007934312,0.00406648,0.0091253,0.0006194082,0.007339439,0.001474234,0.9705294],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09328532,"threshold_uncertainty_score":0.1330601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07666111176968024,"score_gpt":0.2477703375321063,"score_spread":0.1711092257624261,"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."}}