{"id":"W2565539182","doi":"10.71781/4553","title":"Microgels for oral delivery of therapeutic proteins","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science","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":[0.0002731974,0.0003361041,0.000218489,0.0002382628,0.0002589974,0.0004225026,0.0001925129,0.0003306681,0.005122198],"category_scores_gemma":[0.0001202494,0.0001501448,0.0002295233,0.000121813,0.0001994456,0.0002270992,0.0002828422,0.0004334637,0.0007765028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005612877,"about_ca_system_score_gemma":0.0004151268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003337431,"about_ca_topic_score_gemma":0.008092042,"domain_scores_codex":[0.9999161,0.000006869467,0.000002958034,0.00001574168,0.00003345244,0.00002478371],"domain_scores_gemma":[0.9999688,0.00000759735,0.000004845325,0.000002258608,0.000007655586,0.000008876182],"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":[0.0001305198,0.00005114833,0.0000562194,0.0002543089,0.00001206322,0.0001520726,0.0001095837,0.0003390333,0.9385432,0.001439021,0.002411129,0.05650171],"study_design_scores_gemma":[0.00004784975,0.0003083526,0.001215433,0.00005696796,0.00003159019,0.0002836238,0.00005001075,0.000927385,0.9338021,0.0003329021,0.06291994,0.00002373096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6143104,0.2455376,0.07765014,0.003714545,0.002317022,0.0008137645,0.001211292,0.0009111761,0.05353416],"genre_scores_gemma":[0.646159,0.07202833,0.03133805,0.0006053253,0.0003280649,0.0003419266,0.0007061463,0.0001800238,0.2483131],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005122198,"threshold_uncertainty_score":0.01713544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04126362531569115,"score_gpt":0.3051574211208981,"score_spread":0.2638937958052069,"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."}}