{"id":"W4233092955","doi":"10.1108/oxan-db198226","title":"Prospects for manufacturing in the second quarter","year":2015,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Commodity; Government (linguistics); Industrial organization; Economics; Business; Key (lock); Manufacturing; Commerce; Market economy; Computer science; Marketing; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003507458,0.0002256084,0.0004305272,0.0002365592,0.00004047212,0.00007562507,0.0003651806,0.0003449694,0.002753714],"category_scores_gemma":[0.00003367102,0.0001993157,0.00008298771,0.0001088687,0.00004898322,0.0000876717,0.00003594536,0.0002338977,0.0003696246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007989901,"about_ca_system_score_gemma":0.000009475128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003193929,"about_ca_topic_score_gemma":0.0004684213,"domain_scores_codex":[0.9987273,0.000005483142,0.0004826472,0.0004610308,0.00002591537,0.0002976343],"domain_scores_gemma":[0.9992294,0.00002487068,0.0003472391,0.0003639273,0.000009404434,0.00002517563],"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":[0.000003450817,0.00002735838,0.00001514672,0.00002565111,0.00001768218,0.000001459293,0.0002759239,1.578049e-7,0.000001559771,0.08044201,0.9190003,0.000189259],"study_design_scores_gemma":[0.000424731,0.00004055819,0.00008620471,0.00002418901,8.811415e-7,0.00000211644,0.00001377876,0.00002821427,0.00005315283,0.07516819,0.9238977,0.0002602485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001051452,0.006169284,0.0009306841,0.1133044,0.0005089593,0.001878417,0.0004529424,0.0003650212,0.8753389],"genre_scores_gemma":[0.006973394,0.0001153522,0.002032991,0.1529078,0.001059523,0.0008025871,0.0003390221,0.0004250124,0.8353444],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03999449,"threshold_uncertainty_score":0.9981579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518123090548393,"score_gpt":0.240540615496884,"score_spread":0.1953593845914,"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."}}