{"id":"W4411605867","doi":"10.2139/ssrn.5315760","title":"Convenience Lost","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"European Monetary and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001999859,0.001183578,0.001074744,0.002713382,0.002951099,0.005873148,0.001678418,0.001604324,0.7444123],"category_scores_gemma":[0.01600439,0.0005723308,0.0009350753,0.002187242,0.001296055,0.004747767,0.004744662,0.003449656,0.712163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350851,"about_ca_system_score_gemma":0.00218327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003148518,"about_ca_topic_score_gemma":0.005146821,"domain_scores_codex":[0.9983237,0.0002527261,0.0001021408,0.0002230262,0.0008988649,0.000199527],"domain_scores_gemma":[0.9933936,0.001246302,0.0002017213,0.001816588,0.002415753,0.0009259749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006368866,0.00002172723,0.00007745526,0.00005790275,0.000002526878,0.00006846037,0.0001206189,0.00003048411,0.0002490294,0.01466621,0.9040477,0.08059426],"study_design_scores_gemma":[0.000005517999,0.000007607632,0.0001009851,0.00003852499,0.000001769231,0.00009181655,0.00005891993,0.00003919509,0.0001235307,0.002795199,0.9967316,0.000005298113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006983461,0.001301296,0.009593948,0.007050856,0.01563782,0.0001889731,0.002705697,0.004061486,0.9587615],"genre_scores_gemma":[0.001953694,0.0004369091,0.001255025,0.001683732,0.00113321,0.00006092694,0.0006589869,0.001254698,0.9915627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7444123,"threshold_uncertainty_score":0.3645648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183473358703659,"score_gpt":0.2030531636798191,"score_spread":0.1912184300927825,"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."}}