{"id":"W2914681419","doi":"10.1145/3256037","title":"Session details: From Wall Displays to Liquid Matter","year":2017,"lang":"en","type":"article","venue":"","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Session (web analytics); Computer science; Computer graphics (images); Multimedia; Human–computer interaction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006920604,0.0009068123,0.0008769705,0.0004276575,0.001633188,0.003278538,0.00114866,0.002703862,0.7501521],"category_scores_gemma":[0.001162956,0.0002686577,0.001092618,0.0004325662,0.0003401003,0.001417926,0.001901425,0.001769322,0.3565382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004391253,"about_ca_system_score_gemma":0.0006144218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007425213,"about_ca_topic_score_gemma":0.002068732,"domain_scores_codex":[0.999733,0.00003312988,0.000009562629,0.00005930892,0.00008370752,0.00008128112],"domain_scores_gemma":[0.9993533,0.0001471704,0.00001809932,0.00007210066,0.0001302222,0.0002791038],"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":[0.0009206966,0.000205289,0.0001906953,0.0004096684,0.0000190561,0.0001445605,0.00006010103,0.0000891457,0.009200116,0.002057409,0.9215269,0.06517633],"study_design_scores_gemma":[0.000125319,0.0002725985,0.001166814,0.0001524971,0.00002158101,0.0001963712,0.00008161654,0.0002945758,0.005071322,0.001889815,0.9907007,0.00002669462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008174007,0.00984351,0.009410379,0.01788791,0.04542301,0.0009736059,0.01115097,0.005354225,0.8917823],"genre_scores_gemma":[0.02205292,0.003869391,0.001619184,0.002072374,0.003603413,0.000254289,0.002567873,0.000877068,0.9630836],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2498479,"threshold_uncertainty_score":0.3563777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008228918370973084,"score_gpt":0.2244892165197348,"score_spread":0.2162602981487617,"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."}}