{"id":"W4405500800","doi":"10.1108/oxan-es291734","title":"Third-quarter results end long recession in Argentina","year":2024,"lang":"en","type":"article","venue":"Emerald expert briefings","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Recession; Headline; Economics; Geography; Keynesian economics; Business; Advertising; Archaeology","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":[0.006025061,0.0004291473,0.0006451867,0.000776081,0.0010769,0.002456293,0.0005110689,0.001453618,0.01374109],"category_scores_gemma":[0.009566255,0.0001996536,0.0007820585,0.00101041,0.0004828995,0.001019019,0.00164641,0.001430939,0.002410711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00339008,"about_ca_system_score_gemma":0.005274217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06682168,"about_ca_topic_score_gemma":0.07456951,"domain_scores_codex":[0.9975402,0.000374355,0.00009668148,0.0001169579,0.0006881779,0.001183626],"domain_scores_gemma":[0.9929445,0.001098235,0.001109179,0.0003976469,0.002886138,0.001564192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009887365,0.00125672,0.4910129,0.0006257723,0.0002583056,0.001644174,0.007245828,0.004115641,0.002501482,0.006789428,0.3459398,0.1287225],"study_design_scores_gemma":[0.0001871295,0.000582299,0.9175143,0.000293921,0.0001178806,0.0001567223,0.01518189,0.001495657,0.00187432,0.001187807,0.06135955,0.000048634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.901037,0.001677926,0.0006402279,0.01668793,0.0007502374,0.0001880289,0.01128346,0.0001999282,0.06753515],"genre_scores_gemma":[0.9604955,0.0006835265,0.0005411757,0.001587202,0.0001724177,0.0002785885,0.009205888,0.0001042283,0.02693151],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06682168,"threshold_uncertainty_score":0.1328655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07612239471026926,"score_gpt":0.4334495743636399,"score_spread":0.3573271796533706,"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."}}