{"id":"W3189086905","doi":"10.1017/9781108935920.012","title":"Manufacturing and Automation","year":2021,"lang":"en","type":"other","venue":"","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Manufacturing; Automation; Quarter (Canadian coin); Product (mathematics); Business; Economics; Economic policy; Engineering; Marketing; History","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":[0.001667455,0.001372932,0.0009933425,0.001947812,0.001591689,0.009277076,0.001322322,0.002606482,0.1743633],"category_scores_gemma":[0.004382284,0.0005745605,0.001067137,0.003395015,0.002266116,0.004054796,0.004275403,0.002259837,0.09118781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281133,"about_ca_system_score_gemma":0.004326253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002825763,"about_ca_topic_score_gemma":0.002297827,"domain_scores_codex":[0.9962476,0.0006341233,0.0003799587,0.0008497456,0.001608785,0.0002798901],"domain_scores_gemma":[0.9975563,0.0004664164,0.0002055273,0.0007939513,0.0007760108,0.0002016895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001036418,0.00007511324,0.001480986,0.001415748,0.00008018717,0.0005682948,0.0004968378,0.002437686,0.003322482,0.2481041,0.192364,0.5495508],"study_design_scores_gemma":[0.00001070739,0.00006236486,0.0008400197,0.0003350653,0.00001408351,0.0004534376,0.0001614191,0.0007856169,0.0006171613,0.02845829,0.9682428,0.00001895733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003465641,0.02585333,0.0525802,0.00756882,0.007021628,0.0004916543,0.002009161,0.002372779,0.8986369],"genre_scores_gemma":[0.0879092,0.03485846,0.04011461,0.004221281,0.002332425,0.0007454697,0.003967535,0.0006265534,0.8252244],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1743633,"threshold_uncertainty_score":0.5833032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924599002201321,"score_gpt":0.1889810880978717,"score_spread":0.1697350980758585,"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."}}