{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005294905,0.0001148439,0.0002187847,0.0000658421,0.0002097719,0.00007714712,0.0003875816,0.00004729284,0.01324679],"category_scores_gemma":[0.00009492726,0.00006583289,0.00006815447,0.00009123743,0.0001815544,0.0002289249,0.0001914707,0.00005192156,0.02707392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004603195,"about_ca_system_score_gemma":0.0000280365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000681423,"about_ca_topic_score_gemma":0.00003668358,"domain_scores_codex":[0.9990578,0.00001534791,0.0002947424,0.0003447812,0.0000299982,0.000257327],"domain_scores_gemma":[0.9992462,0.00008117798,0.0001853303,0.0004021412,0.00002981094,0.00005537869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002302372,0.00005762545,0.05572172,0.00001341618,0.0000501482,0.000002845623,0.0009346696,0.000003453019,0.001225347,0.7390029,0.1901721,0.01279279],"study_design_scores_gemma":[0.0007658739,0.00002589242,0.01333829,0.00008721423,0.000007750806,0.000003047217,0.0006283979,0.0008173645,0.0005781374,0.03460773,0.9488094,0.0003309275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4065706,0.0005827738,0.002758027,0.005703082,0.003264517,0.0002239658,0.0002774637,0.0001066451,0.5805129],"genre_scores_gemma":[0.8527238,0.0003669941,0.00006153413,0.0001599939,0.00006360022,0.00001120701,9.273994e-7,0.00000708573,0.1466049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7586373,"threshold_uncertainty_score":0.9876552,"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."}}