{"id":"W3138891035","doi":"10.5555/2872518.3251223","title":"Session details: WEBED'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Panel discussion; Session (web analytics); Scope (computer science); Library science; Social media; Pleasure; Computer science; Sociology; World Wide Web; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003552879,0.001256337,0.001303141,0.001233676,0.0022986,0.007351437,0.002138315,0.003969629,0.756718],"category_scores_gemma":[0.004230455,0.0004249024,0.001193628,0.001309503,0.0004205848,0.00374818,0.005495747,0.003438062,0.6272087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126406,"about_ca_system_score_gemma":0.002053246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697505,"about_ca_topic_score_gemma":0.005268534,"domain_scores_codex":[0.9988581,0.0001570164,0.00006204422,0.0002606717,0.0003980204,0.0002640816],"domain_scores_gemma":[0.9960919,0.0003019107,0.00009495913,0.0003217945,0.001059824,0.002129583],"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":[0.0001059966,0.0000385155,0.00005962985,0.0001407783,0.000003369824,0.00002634556,0.00002112426,0.000016978,0.0002189623,0.0003302966,0.9821369,0.01690129],"study_design_scores_gemma":[0.0000253856,0.00002144459,0.0002240552,0.00005381352,0.00000191929,0.00001360461,0.00003168987,0.00003246998,0.00008399748,0.0001452412,0.9993612,0.000005122995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001474097,0.005251847,0.005903831,0.01859718,0.1783744,0.002109275,0.02743155,0.006621514,0.7542363],"genre_scores_gemma":[0.003022153,0.001243714,0.001185765,0.003841024,0.008300857,0.0009261118,0.008393052,0.001458304,0.971629],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.243282,"threshold_uncertainty_score":0.3470122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599027548732568,"score_gpt":0.2687875214979303,"score_spread":0.2427972460106046,"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."}}