{"id":"W6981312908","doi":"","title":"The Economic and Long-Term\\nHealth Consequences of Canadian\\nCOVID-19 Lockdowns","year":2021,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Production (economics); Economic model; Economic impact analysis; Upstream (networking); General equilibrium theory","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000996199,0.000175769,0.0002295494,0.0006183789,0.001511937,0.002956888,0.0009874443,0.0008657904,0.005453228],"category_scores_gemma":[0.005147363,0.0001961191,0.0004427164,0.001052077,0.001451883,0.000724861,0.001288252,0.0009002038,0.0002675162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02290566,"about_ca_system_score_gemma":0.008446777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8767031,"about_ca_topic_score_gemma":0.8841693,"domain_scores_codex":[0.9993052,0.00008100062,0.00002085494,0.00008821898,0.0001604662,0.0003441888],"domain_scores_gemma":[0.9982528,0.0004289555,0.0005183544,0.0001263138,0.0003836106,0.0002899004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006078265,0.000196762,0.4628054,0.0001385109,0.0002056202,0.000922006,0.001853287,0.2782766,0.002813017,0.1947807,0.01105323,0.04634706],"study_design_scores_gemma":[0.00009410264,0.000199202,0.5262135,0.0001530902,0.0003144869,0.0002806194,0.005008599,0.3900626,0.002862646,0.03945296,0.03520611,0.0001521863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610544,0.000484692,0.00552426,0.004077786,0.00003998652,0.00005332997,0.002985362,0.00004910794,0.025731],"genre_scores_gemma":[0.9925731,0.0002215267,0.0004137146,0.0000735607,0.000005239875,0.000009955074,0.0002800611,0.000005075214,0.00641782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232969,"threshold_uncertainty_score":0.2480459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952686315036173,"score_gpt":0.2139149532329123,"score_spread":0.1943880900825506,"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."}}