{"id":"W7135490198","doi":"","title":"Construction work price indices, construction price indices and construction cost indices:in 4th quarter 2016","year":2016,"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":"Price index; Quarter (Canadian coin); Work (physics); Construction industry; Measure (data warehouse); Price level","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":[0.002786065,0.0007337945,0.0005477447,0.00762511,0.0006135789,0.003171968,0.0007770805,0.0005271042,0.0139728],"category_scores_gemma":[0.01009611,0.0004398016,0.0004155974,0.02024674,0.0004360454,0.002577264,0.001710788,0.001179166,0.01324604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005015966,"about_ca_system_score_gemma":0.006658736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0835912,"about_ca_topic_score_gemma":0.1071642,"domain_scores_codex":[0.9956488,0.0002116141,0.0004832737,0.000328093,0.003030528,0.0002976156],"domain_scores_gemma":[0.993101,0.0003112582,0.0007252178,0.0003088402,0.005276963,0.000276623],"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":[0.0004798704,0.0001557256,0.09256095,0.00108924,0.00004870069,0.0001374026,0.00159111,0.002233136,0.001078575,0.01122771,0.7358118,0.1535858],"study_design_scores_gemma":[0.00001582251,0.00006271031,0.3164689,0.0003269902,0.00002330514,0.0001202109,0.00195802,0.001177763,0.002603102,0.001869345,0.6753272,0.00004649558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0888854,0.003567284,0.003647439,0.002446814,0.002034872,0.0004309659,0.7707166,0.0009120164,0.1273586],"genre_scores_gemma":[0.1409968,0.004051035,0.008344984,0.0002052309,0.000387105,0.0005265881,0.6217977,0.0006673523,0.2230233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0835912,"threshold_uncertainty_score":0.1662093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008851657325077684,"score_gpt":0.2367869517637273,"score_spread":0.2279352944386496,"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."}}