{"id":"W6950252920","doi":"10.5281/zenodo.2526932","title":"Pharmaceutical Membrane Technology Market Research Report 2023","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanofiltration; Membrane; Pharmaceutical industry; Membrane technology; Polyvinylidene fluoride; Pharmaceutical technology; Market research","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":[0.004926023,0.001876744,0.00078607,0.003395429,0.00136081,0.007021214,0.002214516,0.004402784,0.18784],"category_scores_gemma":[0.004935413,0.0006696411,0.001606113,0.003015629,0.0003655275,0.004279027,0.001750753,0.002829133,0.2211057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003316528,"about_ca_system_score_gemma":0.01239698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01269539,"about_ca_topic_score_gemma":0.009162667,"domain_scores_codex":[0.9953279,0.0002595798,0.0001872115,0.0003814985,0.003438567,0.000405201],"domain_scores_gemma":[0.9954578,0.0003587799,0.000315322,0.0001968838,0.00313758,0.0005337585],"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":[0.0001443777,0.0001117333,0.0001932818,0.0003074871,0.00001041055,0.00006951288,0.00001430381,0.0001050057,0.001706249,0.004248576,0.9566166,0.03647251],"study_design_scores_gemma":[0.00001958238,0.00007824905,0.0006637745,0.0000718904,0.000007954896,0.00003682828,0.00002318386,0.0001593353,0.001275074,0.0005763965,0.9970777,0.00001006912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00328633,0.009792879,0.005473036,0.02413778,0.01362016,0.001691175,0.2211613,0.004699031,0.7161383],"genre_scores_gemma":[0.01069959,0.01149117,0.006858422,0.007048792,0.002497669,0.001601022,0.196879,0.001705082,0.7612193],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.18784,"threshold_uncertainty_score":0.6283874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476116765865341,"score_gpt":0.3084028543989622,"score_spread":0.2607911778124281,"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."}}