{"id":"W980714684","doi":"","title":"Incorporating HA as an Internal Wetting Agent","year":2009,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McMaster University","funders":"","keywords":"Wetting; Chemistry; Materials science; Composite material","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":[0.0001503598,0.0002774087,0.0001550141,0.0001932821,0.0001392835,0.000312662,0.0002274225,0.0002714637,0.0007178307],"category_scores_gemma":[0.0001521984,0.000143866,0.0001654711,0.0001597466,0.0001567792,0.0003450429,0.0002058586,0.0003584547,0.0002644839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544046,"about_ca_system_score_gemma":0.0001329101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004705994,"about_ca_topic_score_gemma":0.0007762098,"domain_scores_codex":[0.9999219,0.000007767457,0.000007578397,0.0000189704,0.00001450853,0.00002917363],"domain_scores_gemma":[0.9998739,0.00002799783,0.00003030187,0.00002595458,0.00001926238,0.00002256128],"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":[0.00003023204,0.00001177593,0.00007905298,0.00003060533,0.000003360093,0.00003435272,0.00001051138,0.00008935693,0.9979274,0.0001216142,0.00001996414,0.001641694],"study_design_scores_gemma":[0.000003340445,0.00007844263,0.000271941,0.000002607707,0.000007097167,0.00004181213,0.000004783407,0.0004719007,0.9977891,0.00001215654,0.001313883,0.000002805794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834674,0.0009606549,0.01100985,0.00005291648,0.00007168748,0.00007158295,0.0001602519,0.0001376184,0.00406808],"genre_scores_gemma":[0.9869501,0.0005408713,0.009310417,0.00005422789,0.00001820477,0.00003794866,0.0001266945,0.00002560899,0.002935921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007178307,"threshold_uncertainty_score":0.002401352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04020907009560111,"score_gpt":0.3354188275345438,"score_spread":0.2952097574389427,"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."}}