{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002229589,0.0001142082,0.0001014717,0.00003454664,0.0001392472,0.0001837402,0.001913414,0.00004093371,0.0003885201],"category_scores_gemma":[0.00001773752,0.00004971388,0.00003797146,0.0001600509,0.00006735793,0.0009727367,0.0004352497,0.00008214161,0.0007814426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001176349,"about_ca_system_score_gemma":0.0001454192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003057595,"about_ca_topic_score_gemma":0.00003893987,"domain_scores_codex":[0.9990357,0.0001247881,0.000132718,0.0002667067,0.0001968507,0.0002432103],"domain_scores_gemma":[0.9988753,0.0001648053,0.00006590287,0.0007763793,0.00004178104,0.00007586848],"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":[0.00001325153,0.00005404853,0.004853944,0.00001416493,0.0000177263,0.000009010041,0.0008554296,0.000001228112,0.03866826,0.6451682,0.008682015,0.3016628],"study_design_scores_gemma":[0.001823986,0.0003106593,0.0457871,0.0006038266,0.00002463481,0.00007293336,0.0003550149,0.02464541,0.06341846,0.1538545,0.7079064,0.001197138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5849205,0.0003802327,0.2247349,0.0704435,0.0009991712,0.0003162044,0.000007908865,0.0009168488,0.1172808],"genre_scores_gemma":[0.9930782,0.00005837032,0.001024299,0.0009601954,0.00008241138,0.000008440301,3.198765e-7,0.000005203251,0.004782551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6992243,"threshold_uncertainty_score":0.9999965,"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."}}