{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004800052,0.0001508636,0.0003933969,0.0005796645,0.0002913537,0.001145745,0.0003663172,0.0003886023,0.01105324],"category_scores_gemma":[0.005103725,0.0002013782,0.0002538679,0.0006575471,0.0004330852,0.0009315623,0.0005859293,0.0007141161,0.0006846873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007160802,"about_ca_system_score_gemma":0.0003527321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007124855,"about_ca_topic_score_gemma":0.01286246,"domain_scores_codex":[0.9995942,0.00005301467,0.00003070329,0.00008632073,0.00009088292,0.0001449139],"domain_scores_gemma":[0.9933868,0.002734503,0.002228281,0.0002564761,0.000501493,0.0008924298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005795307,0.0001901177,0.925518,0.0001275711,0.00009236925,0.0007935346,0.001003486,0.01950345,0.002727676,0.01601765,0.0031,0.03034669],"study_design_scores_gemma":[0.00002157029,0.000291672,0.9456164,0.00004368507,0.00003059404,0.0006116596,0.001682071,0.03102772,0.0006340529,0.01379392,0.006197365,0.00004925622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883677,0.0002796066,0.002039122,0.0003382342,0.0000173679,0.00001088057,0.0009000961,0.00002780657,0.008019207],"genre_scores_gemma":[0.9975459,0.00006694497,0.00008192076,0.00001525494,0.0000133807,0.000002278791,0.0004073551,0.000004789836,0.001862112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105324,"threshold_uncertainty_score":0.03697675,"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."}}