{"id":"W35219824","doi":"10.1016/j.ijpharm.2022.121604","title":"Water Requirements for Manufacturing [with Discussion]","year":2016,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population; Census; Annual growth %; Population growth; Gross domestic product; Agricultural economics; Economics; Geography; Demography; Economic growth","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":[0.00152287,0.001439453,0.0006377411,0.002956475,0.001665481,0.0028449,0.002410548,0.002485519,0.1087361],"category_scores_gemma":[0.004600637,0.0005445132,0.001222973,0.003199644,0.0005922316,0.003172532,0.001770935,0.001351709,0.06690124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710335,"about_ca_system_score_gemma":0.002626189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006415844,"about_ca_topic_score_gemma":0.006799074,"domain_scores_codex":[0.9965576,0.0003262439,0.0002917258,0.0004463262,0.002090397,0.0002876773],"domain_scores_gemma":[0.9981006,0.0002816863,0.0002341588,0.0003081657,0.001011802,0.00006354322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003612878,0.0003754528,0.002925909,0.004068328,0.00007129495,0.001124223,0.0004670871,0.005412627,0.1169128,0.03531086,0.2021492,0.6308209],"study_design_scores_gemma":[0.00001645514,0.0001488396,0.001537624,0.0002678462,0.00003241364,0.0003493531,0.0001870563,0.0010893,0.03959161,0.00584681,0.9508928,0.00003995838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02714032,0.01407296,0.1017312,0.01028526,0.00449622,0.002586773,0.02526251,0.006045602,0.8083791],"genre_scores_gemma":[0.2389417,0.02860349,0.1321076,0.007816089,0.001100761,0.003051175,0.03430964,0.003790985,0.5502785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1087361,"threshold_uncertainty_score":0.3637586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839377737195641,"score_gpt":0.3536939240067715,"score_spread":0.3053001466348151,"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."}}