{"id":"W6957800018","doi":"10.60692/wkvnv-g6d86","title":"The Blursday Database: Individuals' Temporalities in Covid Times","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université Laval","funders":"","keywords":"Temporalities; Personality; Coronavirus disease 2019 (COVID-19); Pandemic; Time perception; Duration (music); Perception; Isolation (microbiology)","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":[],"consensus_categories":[],"category_scores_codex":[0.001030456,0.0004743585,0.0006806338,0.004281686,0.0003487286,0.001328669,0.0006741356,0.0007443925,0.01197358],"category_scores_gemma":[0.01322596,0.0002475301,0.0003730464,0.005217579,0.0001610438,0.001075199,0.001337355,0.0003830199,0.005402225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003877825,"about_ca_system_score_gemma":0.0005106959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009979446,"about_ca_topic_score_gemma":0.01006978,"domain_scores_codex":[0.9992394,0.0001299279,0.0002088178,0.0001825497,0.0001814742,0.00005787594],"domain_scores_gemma":[0.9938665,0.002170467,0.001016623,0.001514365,0.00101579,0.0004161905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.004722887,0.000322154,0.2161046,0.003931279,0.0005883495,0.0006678277,0.003733999,0.004655684,0.005813834,0.005745728,0.5063639,0.2473498],"study_design_scores_gemma":[0.0003488593,0.0003685634,0.5388181,0.0005128061,0.0001953857,0.0008370511,0.002378978,0.009088704,0.003249556,0.00488532,0.4390867,0.0002299623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08999304,0.001128323,0.00418696,0.0002566697,0.000115653,0.000220696,0.8962573,0.002945868,0.004895461],"genre_scores_gemma":[0.1975107,0.0005787344,0.009255477,0.00009126029,0.000109789,0.001008463,0.7890543,0.0003088933,0.002082313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01197358,"threshold_uncertainty_score":0.04005563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07055485508263411,"score_gpt":0.2621744297716688,"score_spread":0.1916195746890347,"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."}}