{"id":"W7053695368","doi":"","title":"Welsh index of production and construction 1st quarter 2000","year":2000,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Analytical Chemistry and Sensors","field":"Chemical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000506165,0.001948093,0.001073323,0.006776895,0.00125485,0.004817693,0.0009356074,0.0009004162,0.3956971],"category_scores_gemma":[0.00245221,0.0004675444,0.0003491131,0.01259214,0.0005504015,0.002118041,0.001124265,0.001487979,0.362887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002890609,"about_ca_system_score_gemma":0.003545132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02853711,"about_ca_topic_score_gemma":0.04711735,"domain_scores_codex":[0.9992979,0.00003451933,0.0000488199,0.00008646369,0.0004259616,0.0001063448],"domain_scores_gemma":[0.9984825,0.0001304707,0.00009714249,0.0001157504,0.0009371339,0.0002370524],"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":[0.0001349287,0.00003898187,0.0004961794,0.0001759603,0.000004085621,0.00002405105,0.00002855888,0.0002709793,0.0002608521,0.002466646,0.9021285,0.09397021],"study_design_scores_gemma":[0.000009891577,0.00002404044,0.002579072,0.00007764333,0.000002477034,0.00001532086,0.00005505684,0.0002130283,0.0002351962,0.0006127019,0.9961695,0.000006001158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.003972183,0.006465217,0.002259189,0.003329475,0.008264904,0.0001802958,0.1364169,0.001651476,0.8374604],"genre_scores_gemma":[0.002522231,0.00194671,0.000288688,0.0001051733,0.0001806855,0.00004709306,0.0189155,0.0003396292,0.9756542],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3956971,"threshold_uncertainty_score":0.8619647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009854967429976939,"score_gpt":0.2354793884097237,"score_spread":0.2256244209797467,"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."}}