{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002819354,0.00009262269,0.00009504412,0.00003243866,0.0001241083,0.0001126858,0.0010819,0.00003592458,0.0001074515],"category_scores_gemma":[0.00009635951,0.00004145184,0.0000403488,0.0001541534,0.00007552499,0.0001954033,0.0002505978,0.0001113418,0.0006921417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001927696,"about_ca_system_score_gemma":0.0001542346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001227166,"about_ca_topic_score_gemma":0.00001942524,"domain_scores_codex":[0.9991632,0.00009760931,0.000119786,0.0002152519,0.0001912837,0.0002128564],"domain_scores_gemma":[0.9990176,0.0001691758,0.00006546732,0.0006061122,0.0000809973,0.0000606525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006102749,0.00004977238,0.003760324,0.000008469612,0.00001862195,0.000009800406,0.0003419184,0.00001230516,0.02529178,0.4557112,0.004856819,0.5099329],"study_design_scores_gemma":[0.002106031,0.0004019352,0.01466054,0.0009339993,0.00005327973,0.00009332215,0.0002596922,0.3232588,0.01676547,0.2675886,0.3725707,0.001307544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.135387,0.000118179,0.729822,0.1130463,0.0004869945,0.0001062219,0.000003571211,0.0004919803,0.02053779],"genre_scores_gemma":[0.9896931,0.00007376367,0.00171831,0.0003201398,0.00008332018,0.000002439604,2.61761e-7,0.000004622086,0.008104054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8543061,"threshold_uncertainty_score":0.8896313,"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."}}