{"id":"W7135939609","doi":"","title":"Construction work price indices, construction price indices and construction cost indices:in 3rd 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; Price level; Measure (data warehouse); 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":[0.002748128,0.0007415328,0.0005303816,0.007632647,0.0005735532,0.003034175,0.0007632647,0.0005080228,0.01215627],"category_scores_gemma":[0.009882062,0.0004460406,0.0004119419,0.02114646,0.0004376879,0.002555645,0.001628953,0.001137734,0.01190392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0051673,"about_ca_system_score_gemma":0.006483196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0906737,"about_ca_topic_score_gemma":0.1146193,"domain_scores_codex":[0.9957393,0.0002056735,0.0004663779,0.0003293982,0.002986958,0.0002722302],"domain_scores_gemma":[0.9933176,0.0002958357,0.000666458,0.00030593,0.005160315,0.0002538705],"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":[0.0004624056,0.0001613161,0.09064683,0.001120677,0.00005231666,0.0001454264,0.00170787,0.002513167,0.00115551,0.01200382,0.7216953,0.1683354],"study_design_scores_gemma":[0.00001470911,0.00006225475,0.3047988,0.0003351695,0.000024413,0.0001288558,0.001915414,0.001214707,0.002759127,0.001908249,0.6867907,0.00004764451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.09047466,0.004270324,0.004102722,0.002401017,0.001983832,0.0004424477,0.7623153,0.0009099045,0.1330997],"genre_scores_gemma":[0.1489192,0.004679909,0.008965952,0.0002043868,0.0003902557,0.000524189,0.617565,0.0006855082,0.2180655],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0906737,"threshold_uncertainty_score":0.1802918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008968679716934555,"score_gpt":0.2372470755465936,"score_spread":0.2282783958296591,"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."}}