{"id":"W3136716894","doi":"10.5555/2872427.3257894","title":"Session details: Session 11","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bell (Canada)","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":[0.002679085,0.001827038,0.001687004,0.001429724,0.003738198,0.00812187,0.001854791,0.00478479,0.8971333],"category_scores_gemma":[0.004422911,0.0006034677,0.001602035,0.00117423,0.0003998959,0.00305753,0.005878287,0.004043696,0.8377975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207285,"about_ca_system_score_gemma":0.002685834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349336,"about_ca_topic_score_gemma":0.007874639,"domain_scores_codex":[0.9989973,0.0001643199,0.00003825887,0.0001993722,0.0002598187,0.0003409914],"domain_scores_gemma":[0.9957263,0.00033937,0.000103156,0.00027095,0.00111945,0.002440789],"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":[0.0001282709,0.0000386897,0.00007934402,0.00007595069,0.000004020259,0.00001894976,0.00001848598,0.00001590878,0.0001429813,0.0002554743,0.9878802,0.01134174],"study_design_scores_gemma":[0.00005770296,0.00003759135,0.0005679886,0.00007056161,0.000006269583,0.00001768111,0.00008275372,0.0000552161,0.0001344356,0.0005252652,0.998432,0.00001257788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00181343,0.002197726,0.003299487,0.01457537,0.08054215,0.002413605,0.02192223,0.006540633,0.8666953],"genre_scores_gemma":[0.00255837,0.0004780246,0.0005825736,0.002330295,0.004679766,0.0007347115,0.004432648,0.001126228,0.9830773],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1028667,"threshold_uncertainty_score":0.1467269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07464096412720451,"score_gpt":0.2264904537816457,"score_spread":0.1518494896544412,"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."}}