{"id":"W3139414403","doi":"10.5555/2872518.3251220","title":"Session details: TeachWeb'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Pleasure; World Wide Web; Politics; Literacy; Computer science; Library science; Public relations; Medical education; Sociology; Political science; Pedagogy; Psychology; Medicine","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":[0.002075678,0.001206863,0.001226566,0.000983314,0.001956253,0.0044081,0.00168926,0.002809121,0.8670176],"category_scores_gemma":[0.002665164,0.0004497084,0.0008229414,0.0009366741,0.0003527351,0.002856749,0.004089522,0.002640442,0.7752846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071529,"about_ca_system_score_gemma":0.001751351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775132,"about_ca_topic_score_gemma":0.007157891,"domain_scores_codex":[0.9993317,0.00009129847,0.00002657725,0.0001598393,0.0002160012,0.0001746068],"domain_scores_gemma":[0.996976,0.0001928897,0.00006036253,0.0002138383,0.0005924045,0.00196445],"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":[0.00007091731,0.00007118056,0.00007902402,0.00009384335,0.000002099496,0.00001678979,0.00003018061,0.00001253152,0.0003119017,0.0002903955,0.9679938,0.03102722],"study_design_scores_gemma":[0.00001844722,0.00002707483,0.0003444357,0.00003654312,0.000001430645,0.0000140904,0.00003583819,0.0000307881,0.00009609998,0.0001610087,0.9992294,0.00000473766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001539275,0.002024341,0.00515475,0.01349264,0.03784426,0.001872311,0.01695731,0.01380661,0.9073084],"genre_scores_gemma":[0.0020542,0.0005149718,0.001034024,0.002131368,0.001724874,0.0005026951,0.003482332,0.001580049,0.9869756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1329824,"threshold_uncertainty_score":0.1896833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293486286947595,"score_gpt":0.2271330291529103,"score_spread":0.2041981662834343,"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."}}