{"id":"W2997493051","doi":"10.5555/3374362.3374428","title":"Session details: Session H3: Edgy, Airy Interaction","year":2018,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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":[0.0006236185,0.0001888877,0.0003141235,0.0003425521,0.0003326407,0.0001446491,0.0003175506,0.0001249496,0.006341806],"category_scores_gemma":[0.000103786,0.0001972548,0.0001433827,0.0003047571,0.000291576,0.0005213141,0.000252513,0.0002309041,0.02115976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012112,"about_ca_system_score_gemma":0.00001081474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308848,"about_ca_topic_score_gemma":0.00004554073,"domain_scores_codex":[0.9984813,0.00001813387,0.0005309781,0.0005979865,0.00004314535,0.0003285044],"domain_scores_gemma":[0.9990457,0.0000450433,0.0003276422,0.0004153799,0.00007814418,0.00008809097],"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":[0.0001877247,0.0002934192,0.02824547,0.00007028812,0.0002910819,0.00000529009,0.004978548,0.00007367849,0.0004847177,0.2145983,0.7458116,0.004959945],"study_design_scores_gemma":[0.0006483533,0.0001782215,0.002813598,0.0001330727,0.00001401136,0.000009539453,0.002482273,0.005257779,0.003402049,0.02150032,0.9630366,0.0005241967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4277957,0.001483885,0.01585466,0.000692929,0.02061947,0.000279535,0.0001890975,0.000204703,0.53288],"genre_scores_gemma":[0.9628559,0.0002553855,0.0003165225,0.0002929045,0.0002872497,0.00001083529,0.000006464024,0.00002092361,0.0359538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5350602,"threshold_uncertainty_score":0.9945666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06306998591888277,"score_gpt":0.2734261729722932,"score_spread":0.2103561870534104,"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."}}