{"id":"W4311457684","doi":"10.1109/mcg.2022.3219143","title":"Best Paper Awards 2021","year":2022,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data science; Computer graphics (images)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002148252,0.0001181688,0.0001188183,0.0001167911,0.0009721981,0.0002093939,0.0005122788,0.00002913397,0.00001834094],"category_scores_gemma":[7.72835e-7,0.0001263743,0.00006454174,0.0005348651,0.0000637136,0.0001242261,0.0003639713,0.0002292115,0.00001706268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001514341,"about_ca_system_score_gemma":0.00003833796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003370345,"about_ca_topic_score_gemma":0.000004377987,"domain_scores_codex":[0.9989201,0.00005054057,0.0001717827,0.0004357308,0.0002151403,0.0002067379],"domain_scores_gemma":[0.9990913,0.00006775537,0.00006059117,0.0006210458,0.00005641011,0.0001028851],"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":[0.000001219956,0.000203432,0.0003903761,0.00001408198,0.00002943298,0.000009159537,0.0003916968,0.001609788,0.0007865194,0.7541847,0.007273922,0.2351057],"study_design_scores_gemma":[0.0002767748,0.0001053401,0.0008263432,0.000008743694,0.00001502907,0.0001300631,0.00004489606,0.1887341,0.0001365522,0.01858299,0.7907712,0.0003680267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01161522,0.0003535785,0.9854412,0.001213037,0.0003271571,0.000221705,0.00001014127,0.0001086449,0.0007093312],"genre_scores_gemma":[0.983053,0.0001121592,0.01394203,0.001853889,0.0004275447,0.000372655,0.000009471296,0.00001601586,0.0002131761],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9714991,"threshold_uncertainty_score":0.7477461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127184671786622,"score_gpt":0.2261755975911283,"score_spread":0.2149037508732621,"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."}}