{"id":"W2972442791","doi":"","title":"Seasonal Demand and Net Entry","year":2019,"lang":"en","type":"article","venue":"Economics bulletin","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Seasonality; Competition (biology); Economics; Quarter (Canadian coin); Recession; Great recession; Agricultural economics; Aggregate demand; Econometrics; Natural resource economics; Monetary economics; Labour economics; Macroeconomics; Monetary policy; Geography; Statistics; Mathematics; Ecology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000281275,0.0001153087,0.0003053114,0.0001052505,0.00005063463,0.00008555611,0.0001194071,0.0000631529,0.02705698],"category_scores_gemma":[0.00001299987,0.0001474624,0.00009545565,0.00004667982,0.00002753362,0.00005120557,0.00006126487,0.00008903872,0.01287865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003406373,"about_ca_system_score_gemma":0.000007849314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000419269,"about_ca_topic_score_gemma":0.000006141399,"domain_scores_codex":[0.9990647,0.000009725296,0.0003554655,0.0003674242,0.000010968,0.00019168],"domain_scores_gemma":[0.9994712,0.00003446791,0.0001518322,0.0002338283,0.000008644839,0.0001000223],"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":[0.00002461146,0.00005935184,0.22042,0.00002760459,0.0001306684,0.000001637167,0.0001448795,0.0003657049,0.000007778893,0.7610808,0.0166095,0.001127489],"study_design_scores_gemma":[0.0005954238,0.00002734707,0.01957922,0.000005402646,0.000006072305,0.000006076962,0.0000570879,0.005418532,0.00002081674,0.01443443,0.9595857,0.0002639048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8003372,0.001392241,0.0002753571,0.003069044,0.0003154335,0.0000897596,0.0000600182,0.00002386534,0.1944371],"genre_scores_gemma":[0.981706,0.0009910836,0.0004355283,0.001415881,0.0001121946,0.000008352247,0.00002463372,0.00001764989,0.01528865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9429762,"threshold_uncertainty_score":0.9878899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00863045719339569,"score_gpt":0.1701377232305487,"score_spread":0.161507266037153,"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."}}