{"id":"W7135693188","doi":"","title":"Statistical Bulletin - Pilsen Region - 1st to 2nd 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; 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":[0.003662238,0.001080806,0.0009952888,0.006207334,0.00060359,0.003221287,0.001525678,0.0005476875,0.1639238],"category_scores_gemma":[0.0214812,0.00104875,0.0005723243,0.0171172,0.0004568092,0.002105706,0.002125872,0.001516853,0.1443539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004188457,"about_ca_system_score_gemma":0.008636022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04214472,"about_ca_topic_score_gemma":0.03716465,"domain_scores_codex":[0.9952914,0.0007386352,0.0006724465,0.0006959795,0.002267483,0.0003340385],"domain_scores_gemma":[0.9904727,0.002638527,0.0009501905,0.001776418,0.003789126,0.000373001],"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":[0.00009391311,0.00002124943,0.001967945,0.0004460515,0.00002090183,0.00001724409,0.00006943988,0.0002403568,0.00007983409,0.00225706,0.9770935,0.01769261],"study_design_scores_gemma":[0.00005992018,0.00002096793,0.01865246,0.000391206,0.00001767935,0.00005013165,0.0001852542,0.0002341855,0.0004808177,0.001307408,0.9785777,0.00002234506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001228266,0.0008691776,0.001085195,0.0005929315,0.0004148195,0.0001799851,0.9689025,0.001178266,0.02554891],"genre_scores_gemma":[0.009106278,0.002061973,0.003234936,0.0001570527,0.0001506614,0.001111527,0.9070618,0.001728108,0.07538772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1639238,"threshold_uncertainty_score":0.5483797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782789041883143,"score_gpt":0.2763359419139438,"score_spread":0.2585080514951124,"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."}}