{"id":"W6991732475","doi":"","title":"The impacts of the COVID-19 pandemic on the Portuguese economy : a structural break analysis","year":2021,"lang":"en","type":"dissertation","venue":"Repositório Institucional da Universidade Católica Portuguesa (Universidade Católica Portuguesa)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Natural logarithm; Structural break; Null hypothesis; Chow test; Variable (mathematics); Business cycle; Variables; Portuguese; Pandemic","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002197028,0.001776735,0.002733526,0.002150236,0.002572648,0.0004041434,0.004617047,0.001582659,0.001332805],"category_scores_gemma":[0.002781419,0.001410837,0.00331136,0.005219332,0.001374375,0.0009737088,0.0008417731,0.002900631,0.0001001288],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004685274,"about_ca_system_score_gemma":0.005452767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006425664,"about_ca_topic_score_gemma":0.008277955,"domain_scores_codex":[0.9908263,0.0004798,0.003011245,0.002790948,0.001031422,0.001860271],"domain_scores_gemma":[0.9842073,0.002088387,0.00654582,0.004844946,0.0007736684,0.001539903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00228489,0.0008319002,0.08584701,0.001212329,0.0220222,0.001966771,0.01369475,0.003756272,0.001587755,0.7966118,0.06673089,0.003453457],"study_design_scores_gemma":[0.003699475,0.0004018255,0.3201948,0.0005633385,0.004665528,0.000973342,0.0123825,0.0009557244,0.000435084,0.008527881,0.6431641,0.004036429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890267,0.0170963,0.0002390127,0.03623385,0.004835806,0.00526752,0.005204527,0.0006307345,0.1414655],"genre_scores_gemma":[0.9592043,0.003016044,0.00005080363,0.004669589,0.0004496752,0.00006910741,0.004269473,0.0002166355,0.02805433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7880839,"threshold_uncertainty_score":0.9997135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722093414997792,"score_gpt":0.2672441939146917,"score_spread":0.2300232597647138,"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."}}