{"id":"W7135966133","doi":"","title":"Statistical bulletin - Pilsen Region - 1st to 4th quarter 2016","year":2017,"lang":"cs","type":"report","venue":"Digital Repository (National Repository of Grey Literature)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Czech; Statistical analysis; Table (database); Social category","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":[0.00368997,0.001068566,0.001005069,0.005995417,0.0005998719,0.003246971,0.001505065,0.0005578428,0.1732391],"category_scores_gemma":[0.0218068,0.001022583,0.0005779981,0.01660407,0.0004676627,0.002144571,0.00211413,0.001528303,0.1525086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004215392,"about_ca_system_score_gemma":0.008606966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03972273,"about_ca_topic_score_gemma":0.03429203,"domain_scores_codex":[0.9953452,0.000759282,0.0006674529,0.0006773327,0.002222746,0.000327997],"domain_scores_gemma":[0.9907368,0.002625817,0.000892309,0.001731989,0.003641553,0.0003716416],"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":[0.00008795717,0.00001924336,0.001632806,0.0004246873,0.00001802895,0.00001542042,0.00006307935,0.0002125895,0.00007098264,0.002161699,0.9781427,0.01715072],"study_design_scores_gemma":[0.0000571957,0.00002033293,0.01622687,0.0004002635,0.00001625603,0.00004720087,0.0001678105,0.0002191741,0.0004574652,0.00131193,0.9810545,0.00002087025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001239031,0.001014228,0.001201109,0.0006972816,0.0005177533,0.0002005595,0.96368,0.001326158,0.03012394],"genre_scores_gemma":[0.009464971,0.002467346,0.003435092,0.0001856271,0.0001820558,0.001239307,0.8926911,0.001947438,0.08838707],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1732391,"threshold_uncertainty_score":0.5795425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770125235561693,"score_gpt":0.2757018652731342,"score_spread":0.2580006129175172,"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."}}