{"id":"W7135737134","doi":"","title":"Statistical Bulletin - Plzeňský Region:1st and 3rd quarter of 2013","year":2013,"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); Statistical analysis","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":[0.002652811,0.0004041053,0.0006538748,0.005068078,0.0009011221,0.002725753,0.0006771442,0.0005583599,0.07776321],"category_scores_gemma":[0.01673308,0.000497774,0.0003557037,0.01394155,0.0005687938,0.001295956,0.001494319,0.001230256,0.03418402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005251523,"about_ca_system_score_gemma":0.008629875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08492937,"about_ca_topic_score_gemma":0.1436881,"domain_scores_codex":[0.9978197,0.0002351867,0.0002051028,0.0003494691,0.001209576,0.0001809803],"domain_scores_gemma":[0.9931743,0.002115358,0.0006632663,0.0006951116,0.00297825,0.0003738258],"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":[0.0000952299,0.00001677257,0.004155304,0.0003252314,0.00001430426,0.00003601293,0.0002051686,0.0001907798,0.0001633592,0.001739414,0.9660807,0.02697762],"study_design_scores_gemma":[0.00004190693,0.00002370161,0.08725053,0.0002763545,0.00001806676,0.00005972153,0.0005041641,0.0004972194,0.0008336907,0.001099889,0.9093699,0.00002471229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01302029,0.005214263,0.004282383,0.007044382,0.001734312,0.00058149,0.8799066,0.00297554,0.08524082],"genre_scores_gemma":[0.08847826,0.01614684,0.01003446,0.001264832,0.001040074,0.002674954,0.5053403,0.002737422,0.3722828],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08492937,"threshold_uncertainty_score":0.2601438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246153215552481,"score_gpt":0.2421348384273363,"score_spread":0.2296733062718115,"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."}}