{"id":"W4297846224","doi":"10.2139/ssrn.4199841","title":"KIET Manufacturing Business Survey Index (BSI) for the 2nd Quarter 2018","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Business; Computer science; Geography; World Wide Web","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":[0.0007945033,0.0008169623,0.0006022293,0.008864331,0.0006292984,0.002914166,0.0009287423,0.001137778,0.04931668],"category_scores_gemma":[0.007438332,0.0003310949,0.0005407017,0.01208096,0.000149321,0.001885575,0.0009880654,0.001545933,0.06087947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480624,"about_ca_system_score_gemma":0.003114182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04291634,"about_ca_topic_score_gemma":0.05688179,"domain_scores_codex":[0.9981391,0.00007953396,0.0001859087,0.0001773392,0.001111161,0.0003069659],"domain_scores_gemma":[0.9955779,0.0002900947,0.0007534322,0.0002267705,0.002812531,0.0003392777],"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":[0.0001419856,0.00009453292,0.0144129,0.0001681332,0.00002482165,0.00003703138,0.00004151314,0.0002301324,0.0001070064,0.001117107,0.9578062,0.02581866],"study_design_scores_gemma":[0.00003995991,0.00007564569,0.1142796,0.0001525211,0.00003068096,0.00006106044,0.0001666639,0.0009449067,0.0007341974,0.0005011305,0.8829889,0.00002475939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0145582,0.001497462,0.0007058832,0.003010364,0.001895263,0.0001291409,0.9157955,0.0009296782,0.0614785],"genre_scores_gemma":[0.0349838,0.002130826,0.0008565941,0.0005301013,0.0006284908,0.0002941142,0.77094,0.0003205191,0.1893155],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04931668,"threshold_uncertainty_score":0.1649807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286665936787391,"score_gpt":0.2280435041829218,"score_spread":0.2151768448150479,"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."}}