{"id":"W2768143247","doi":"10.1142/9789813201057_0008","title":"Controlled Released from Hydrogel","year":2017,"lang":"en","type":"book-chapter","venue":"From biomaterials towards medical devices.","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001636074,0.0006168158,0.0002197519,0.0002957354,0.0001838759,0.0005696146,0.0003807003,0.0003566145,0.00876092],"category_scores_gemma":[0.0001433948,0.0002195873,0.00031732,0.0002428223,0.0002396969,0.0007336257,0.0004340287,0.0006391137,0.004058859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000394789,"about_ca_system_score_gemma":0.0001380923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001622203,"about_ca_topic_score_gemma":0.0003051816,"domain_scores_codex":[0.9998804,0.000007072151,0.000008704463,0.00003690061,0.00004623177,0.000020663],"domain_scores_gemma":[0.9999578,0.000009992325,0.00001214975,0.000005921985,0.000007539446,0.000006562633],"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":[0.0001019731,0.00002933782,0.00002984804,0.000519283,0.0000110702,0.0001935521,0.00005457248,0.0002354192,0.9570239,0.00323714,0.003250289,0.03531359],"study_design_scores_gemma":[0.00002906758,0.0001259207,0.000241943,0.00005959811,0.00001351656,0.000306972,0.00001634808,0.0004284045,0.9300084,0.0006059392,0.06814563,0.00001828773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3874313,0.1175914,0.1570313,0.002060584,0.004707871,0.0007886753,0.008307124,0.003180811,0.3189011],"genre_scores_gemma":[0.6157419,0.03312913,0.03857617,0.00145139,0.0005813919,0.0005184007,0.00313435,0.0008017716,0.3060654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00876092,"threshold_uncertainty_score":0.0293082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119733113749258,"score_gpt":0.2590343008357164,"score_spread":0.2378369696982238,"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."}}