{"id":"W7043981153","doi":"","title":"Türkiye’de Evlenme ve Ekonomik Büyüme Arasındaki İlişki: Nedensellik Analizi","year":2022,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Granger causality; Context (archaeology); Population; Quarter (Canadian coin); Consumption (sociology); Causality (physics); Point (geometry); Economic indicator","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":[0.0006145666,0.0004730979,0.0005884839,0.001902028,0.0006266596,0.002152661,0.0003242899,0.000361477,0.008162573],"category_scores_gemma":[0.00104255,0.0001799781,0.0004613529,0.002184035,0.0004201451,0.000809864,0.0006601359,0.0006352972,0.001249409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117821,"about_ca_system_score_gemma":0.001280806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01631885,"about_ca_topic_score_gemma":0.01661539,"domain_scores_codex":[0.9996753,0.00005356093,0.00003761817,0.0000566108,0.0001131113,0.00006387129],"domain_scores_gemma":[0.9995232,0.0001558686,0.00006342603,0.00001812236,0.0002132065,0.00002633461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008507038,0.0005102424,0.4979612,0.002083045,0.0003446486,0.008365877,0.01786452,0.006400391,0.004881953,0.03290612,0.03395532,0.393876],"study_design_scores_gemma":[0.00004208737,0.0002472378,0.7719511,0.001053341,0.0002289004,0.002618473,0.05862034,0.006178748,0.002294802,0.004960503,0.1516827,0.0001217571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042439,0.01241398,0.003839889,0.0010758,0.0002268312,0.0001223614,0.004476839,0.00008573954,0.07351457],"genre_scores_gemma":[0.9733396,0.005364738,0.003785385,0.0001558589,0.00006038756,0.0000915042,0.004835704,0.00002367991,0.0123433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01631885,"threshold_uncertainty_score":0.03244776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560816716372254,"score_gpt":0.2287668604019219,"score_spread":0.2131586932381994,"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."}}