{"id":"W6965401992","doi":"10.34989/sdp-2022-5","title":"COVID-19, Containment and Consumption","year":2022,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Consumption (sociology); Distancing; Turnover; Government (linguistics); Social distance; Panel data; Proxy (statistics); Affect (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001088786,0.0003260545,0.0004543419,0.0009219939,0.0007818368,0.001778174,0.0008805564,0.0004388698,0.005915863],"category_scores_gemma":[0.005504579,0.0002125233,0.0007079283,0.002684781,0.001015303,0.0005784765,0.0008985041,0.001125673,0.0004673915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01237393,"about_ca_system_score_gemma":0.009463257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9439316,"about_ca_topic_score_gemma":0.9429625,"domain_scores_codex":[0.9988948,0.0001174279,0.00004818091,0.0001479382,0.0003371697,0.0004544684],"domain_scores_gemma":[0.9958279,0.0006722971,0.001650846,0.0003215782,0.0009678098,0.0005595409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000190597,0.00006950747,0.9789533,0.0000707282,0.0002459424,0.00005541745,0.0003917269,0.006270162,0.0002790347,0.003003678,0.003524993,0.006944701],"study_design_scores_gemma":[0.000007943678,0.00004013453,0.9900094,0.00002603668,0.00005332276,0.00001904942,0.0005808311,0.002916498,0.0002391632,0.0004622133,0.005627727,0.00001755223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485726,0.001007304,0.001708706,0.00157724,0.00003655716,0.00009071822,0.0319637,0.00008817029,0.01495495],"genre_scores_gemma":[0.9835461,0.0002972746,0.0005508229,0.0001072838,0.000008620996,0.00002852815,0.01108192,0.00001428628,0.004365023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9439316,"threshold_uncertainty_score":0.1127971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594121747434048,"score_gpt":0.2243220781667346,"score_spread":0.1983808606923941,"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."}}