{"id":"W7135630076","doi":"","title":"Statistical Bulletin - Pilsen Region - 1st to 3rd 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; Census","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":[0.003829623,0.001072405,0.001023143,0.006211995,0.0006230435,0.003245582,0.001536707,0.0005548045,0.1690676],"category_scores_gemma":[0.02246954,0.001053511,0.0005867441,0.0169321,0.0004838421,0.002105745,0.002153388,0.001546271,0.1468522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00429494,"about_ca_system_score_gemma":0.00883135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04083463,"about_ca_topic_score_gemma":0.03655529,"domain_scores_codex":[0.9951827,0.0007760256,0.0006856645,0.0007072819,0.002316966,0.0003313825],"domain_scores_gemma":[0.9902081,0.002765328,0.0009281226,0.00185047,0.003860055,0.0003879097],"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":[0.00009228611,0.00002027737,0.0017382,0.0004326512,0.0000191991,0.00001629559,0.00006679171,0.0002242569,0.00007565592,0.002157767,0.9774802,0.01767648],"study_design_scores_gemma":[0.00005961926,0.00002109754,0.01709158,0.0004024214,0.00001696555,0.00004812591,0.0001723632,0.0002220903,0.0004691013,0.001323678,0.9801512,0.0000218168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001233268,0.0009789106,0.001226047,0.0006611375,0.0004936984,0.0002071802,0.9657066,0.001317655,0.02817541],"genre_scores_gemma":[0.009286361,0.002316047,0.003538738,0.0001752676,0.000174928,0.001268781,0.8976144,0.001894598,0.08373082],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1690676,"threshold_uncertainty_score":0.5655874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812398599546979,"score_gpt":0.2769532203336159,"score_spread":0.2588292343381461,"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."}}