{"id":"W7101025989","doi":"","title":"Online Appendix Not For Publication 1 Further Model Details 1.1 Unemployment Insurance","year":2014,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Payment; Cash; Quarter (Canadian coin); Set (abstract data type); Lump sum; Value (mathematics); Duration (music)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005948319,0.0008673358,0.001209364,0.0007606738,0.0006591461,0.002139857,0.001776382,0.002263306,0.4963258],"category_scores_gemma":[0.005210863,0.0004082654,0.0009531163,0.001209218,0.0002270813,0.001317743,0.0009780849,0.00183639,0.1305079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340027,"about_ca_system_score_gemma":0.002228008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03019466,"about_ca_topic_score_gemma":0.02533576,"domain_scores_codex":[0.9997513,0.00005943507,0.00001653777,0.00005762865,0.0000555688,0.00005958501],"domain_scores_gemma":[0.998723,0.0005913288,0.0001360554,0.0001170839,0.0003565091,0.00007607917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007492339,0.0001418558,0.003759523,0.0005057689,0.00004058813,0.0001714018,0.000103341,0.02790415,0.000179874,0.08187797,0.8611377,0.02410285],"study_design_scores_gemma":[0.0002608916,0.0001015486,0.003618353,0.0005173829,0.00008469959,0.0002311453,0.0004016535,0.05096357,0.0002398732,0.09503957,0.8484772,0.00006406143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008279334,0.001569571,0.0478511,0.006534244,0.00108217,0.001079546,0.6287471,0.001724371,0.3031325],"genre_scores_gemma":[0.1225521,0.003348159,0.03023459,0.003763299,0.0007333809,0.004112256,0.3463964,0.001692036,0.4871678],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4963258,"threshold_uncertainty_score":0.7184302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613824221063238,"score_gpt":0.2542310977717294,"score_spread":0.2080928555610971,"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."}}