{"id":"W3080757208","doi":"10.1021/acs.oprd.0c00207","title":"Mini-Monoplant Technology for Pharmaceutical Manufacturing","year":2020,"lang":"en","type":"article","venue":"Organic Process Research & Development","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Manufacturing engineering; Factory (object-oriented programming); Pharmaceutical industry; Key (lock); Computer science; Biochemical engineering; Business; Process engineering; Engineering; Biotechnology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005080099,0.0001666173,0.0001754502,0.0002769116,0.0001733516,0.00003762926,0.0004143999,0.0001363075,0.0001434199],"category_scores_gemma":[0.000136809,0.0001634772,0.00001538037,0.001002796,0.00009374881,0.00009756336,0.0001304954,0.0004949167,0.0001174393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002509578,"about_ca_system_score_gemma":0.0002522079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.470146e-7,"about_ca_topic_score_gemma":8.912372e-8,"domain_scores_codex":[0.99843,0.00001019178,0.0003368293,0.0003033955,0.0003425176,0.0005770575],"domain_scores_gemma":[0.9994096,0.00003886145,0.00002220246,0.0001276569,0.000304879,0.00009681037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004337352,0.00003203982,0.00007374494,0.0007255694,0.00007830338,0.00001301008,0.001172112,0.000004040684,0.8718129,0.001802736,0.01178202,0.1124601],"study_design_scores_gemma":[0.0002650011,0.00003683405,0.00003268368,0.00003101705,0.000002420784,0.000007921091,0.000249668,0.0003529253,0.8503007,0.0007374248,0.1478127,0.0001707079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2703619,0.0007525465,0.7176527,0.004645284,0.0001575767,0.001581071,0.00001827979,0.001752303,0.003078324],"genre_scores_gemma":[0.9929528,0.0000500499,0.006205541,0.0001888473,0.00008507411,0.0003385422,0.00004564851,0.0000544121,0.00007906008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7225909,"threshold_uncertainty_score":0.6666405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06137493998315487,"score_gpt":0.3532241429602211,"score_spread":0.2918492029770662,"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."}}