{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00750289,0.001760719,0.002354522,0.004171597,0.002708298,0.01301955,0.002714314,0.00546052,0.5181931],"category_scores_gemma":[0.02312053,0.0006988711,0.001638497,0.003394663,0.0008556201,0.004564588,0.006217653,0.004342572,0.5590711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003870729,"about_ca_system_score_gemma":0.009031907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002819715,"about_ca_topic_score_gemma":0.007387074,"domain_scores_codex":[0.9905219,0.0006739313,0.0003296035,0.0007772948,0.006129502,0.001567837],"domain_scores_gemma":[0.9417263,0.001472643,0.0008255437,0.00192979,0.02616863,0.02787704],"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":[0.0000559319,0.00003806056,0.00009955319,0.00005335456,0.000009319903,0.00003743319,0.000005220857,0.00007806072,0.0002352058,0.001845024,0.9678519,0.02969097],"study_design_scores_gemma":[0.00003914872,0.00006803324,0.0003452699,0.00005897351,0.000009370137,0.0000633819,0.00004219834,0.0004827146,0.0003554143,0.002215719,0.9963011,0.00001877241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002717333,0.008429363,0.01206085,0.08279806,0.3167527,0.001239606,0.01796312,0.005411172,0.5526278],"genre_scores_gemma":[0.007207792,0.003888565,0.003628366,0.006054888,0.02025969,0.0003265908,0.01157583,0.001511816,0.9455465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5181931,"threshold_uncertainty_score":0.6872391,"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."}}