{"id":"W7020746902","doi":"","title":"A magyarországi termékenység paritásonkénti alakulása
\\n1970 és 2011 között","year":2016,"lang":"hu","type":"article","venue":"Corvinus Research Archive (Corvinus University of Budapest)","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Population; Context (archaeology); Statistical analysis; Quarter (Canadian coin)","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.003141071,0.0006627048,0.001221072,0.0008751419,0.004014093,0.0001759474,0.003220803,0.0005146384,0.01376159],"category_scores_gemma":[0.001009481,0.0006643091,0.0006702743,0.0009140624,0.0089594,0.0009213961,0.002063795,0.001095449,0.01163993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410529,"about_ca_system_score_gemma":0.003532204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06323111,"about_ca_topic_score_gemma":0.04085233,"domain_scores_codex":[0.9905946,0.002613153,0.0008309308,0.001630546,0.001693338,0.002637408],"domain_scores_gemma":[0.9920852,0.003562541,0.0006717597,0.001082278,0.001290953,0.001307334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001696847,0.001846269,0.1202431,0.0004261319,0.001710432,0.0005121457,0.09743269,0.00001054861,0.003918121,0.03938981,0.6574515,0.07536241],"study_design_scores_gemma":[0.003122617,0.0007652839,0.2338221,0.000786074,0.0002156908,0.0000112408,0.08651877,0.0000634371,0.000257335,0.02803176,0.6449645,0.001441174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5914711,0.001766364,0.001236637,0.02856481,0.002301124,0.002316387,0.001990223,0.0002505988,0.3701027],"genre_scores_gemma":[0.9062265,0.01123756,0.0005271561,0.00009432768,0.001059701,0.000008457549,0.00005027566,0.00007526707,0.0807208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3147553,"threshold_uncertainty_score":0.9995808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08608406455795155,"score_gpt":0.3183260969961914,"score_spread":0.2322420324382398,"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."}}