{"id":"W6997442248","doi":"","title":"Welsh index of production and construction 3rd quarter 2000","year":2001,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Railway Systems and Materials Science","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Welsh; Quarter (Canadian coin); Index (typography); Production (economics)","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":[0.0005550634,0.001895118,0.0009958284,0.01254277,0.00108794,0.00325017,0.0009661806,0.0006155675,0.1594156],"category_scores_gemma":[0.00258414,0.0004346891,0.0003305486,0.01939194,0.0004989804,0.00161825,0.001111421,0.001313194,0.136309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002978791,"about_ca_system_score_gemma":0.003943839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0515431,"about_ca_topic_score_gemma":0.09212141,"domain_scores_codex":[0.9992009,0.00003722569,0.00007764281,0.00009334996,0.0004718943,0.0001189611],"domain_scores_gemma":[0.9979693,0.0001375928,0.0001494114,0.0001387481,0.001401417,0.0002034463],"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":[0.0001741142,0.0000468651,0.001684245,0.0002816248,0.000009480378,0.00002826302,0.00005265819,0.000343703,0.0002771489,0.002811493,0.8916688,0.1026216],"study_design_scores_gemma":[0.00001126267,0.00002641268,0.009963974,0.0001119474,0.000004676551,0.00002153681,0.00006876489,0.0001758653,0.0002642302,0.0006440361,0.9887001,0.000007253678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.006910723,0.01245269,0.002031536,0.002940095,0.008431241,0.0002030262,0.3856272,0.001117014,0.5802865],"genre_scores_gemma":[0.00908689,0.005792264,0.000686359,0.0001663195,0.0005693383,0.0001280501,0.08266754,0.0003856473,0.9005176],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1594156,"threshold_uncertainty_score":0.5332984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009281350716879008,"score_gpt":0.224932498895124,"score_spread":0.215651148178245,"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."}}