{"id":"W3176288994","doi":"","title":"Front of House Experiences within COVID-19: An analysis of a Coffee Shop in Vancouver","year":2021,"lang":"en","type":"article","venue":"SFU Undergraduate Research Symposium Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Coronavirus disease 2019 (COVID-19); Work (physics); SAFER; Government (linguistics); Marketing; Computer science; Engineering; Medicine; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006880223,0.000216972,0.001057775,0.003011612,0.000220641,0.0001559298,0.0007029602,0.0001653584,0.00103595],"category_scores_gemma":[0.004072381,0.0002251913,0.0003389883,0.003009373,0.0004178964,0.0006320433,0.0002071008,0.0008308566,0.00002080782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130863,"about_ca_system_score_gemma":0.002123212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002484538,"about_ca_topic_score_gemma":0.008819264,"domain_scores_codex":[0.9958252,0.0005945142,0.001682826,0.0005974681,0.0005252517,0.0007746964],"domain_scores_gemma":[0.9964122,0.0007698857,0.0008249827,0.0007005926,0.0004028203,0.0008895042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008116814,0.00226819,0.7224156,0.0005149084,0.002864541,0.0008817696,0.09201398,0.1263182,0.01010766,0.03204469,0.009443492,0.0003153255],"study_design_scores_gemma":[0.01981917,0.004310204,0.05936052,0.0007887548,0.0007902968,0.000379035,0.1761393,0.3288469,0.02740938,0.3551896,0.02324307,0.003723755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816392,0.00198754,0.006077461,0.007188361,0.000549144,0.0002684419,0.0001005228,0.00002744037,0.002161874],"genre_scores_gemma":[0.9963064,0.001972058,0.0006873392,0.0003005642,0.00007449862,0.00001981397,0.000008040208,0.00003669511,0.0005946149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6630551,"threshold_uncertainty_score":0.9998772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093181013097715,"score_gpt":0.3718648459638441,"score_spread":0.2625467446540726,"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."}}