{"id":"W3111475836","doi":"10.1039/d0sm01039a","title":"Lubrication dynamics of swollen silicones to limit long term fouling and microbial biofilms","year":2020,"lang":"en","type":"article","venue":"Soft Matter","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"Grand Challenges Canada; Ontario Centres of Excellence","keywords":"Syneresis; Biofilm; Adhesion; Fouling; Lubrication; Biofouling; Materials science; Chemistry; Chemical engineering; Polymer science; Composite material; Membrane; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005817083,0.00009711069,0.000167408,0.00003895471,0.00005285527,0.00004748011,0.0001134224,0.00003121924,0.0002858327],"category_scores_gemma":[0.00003521454,0.00009114712,0.00002853318,0.00008637117,0.00005548486,0.0001371551,0.0001537894,0.00004549365,0.0005267038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001950783,"about_ca_system_score_gemma":0.00001003953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007882168,"about_ca_topic_score_gemma":0.00003170256,"domain_scores_codex":[0.9992995,0.00002300458,0.0002141561,0.0002264829,0.00009409125,0.0001427445],"domain_scores_gemma":[0.9996185,0.00006594459,0.0000893797,0.000119859,0.00004454765,0.00006175663],"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":[0.00002524977,0.00001078535,0.07128534,0.00004707825,0.000009358825,0.000001429581,0.001285581,0.000007397417,0.9247578,0.000003783645,0.001613515,0.0009526664],"study_design_scores_gemma":[0.0002093774,0.00004900078,0.0504818,0.00004842125,0.00002455561,0.00001231491,0.0004406038,0.0002983007,0.9479365,0.00001050439,0.0003001443,0.0001884427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870784,0.00009423813,0.001511603,0.01072688,0.0002198408,0.000118637,0.00002662601,0.00004250927,0.0001812145],"genre_scores_gemma":[0.9965611,0.000005585163,0.0007348827,0.002399654,0.00005874475,0.000008128349,0.000003175596,0.00001275988,0.0002159921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02317871,"threshold_uncertainty_score":0.6769888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947956534079375,"score_gpt":0.2575308771152617,"score_spread":0.238051311774468,"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."}}