{"id":"W1971845314","doi":"10.1021/bc050174b","title":"Generic Bioaffinity Silicone Surfaces","year":2005,"lang":"ca","type":"article","venue":"Bioconjugate Chemistry","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Surface modification; Biomolecule; Biocompatibility; Silicone; Covalent bond; Polymer chemistry; Hydrosilylation; Biopolymer; Polymer; Molecule; Biophysics; Organic chemistry; Biochemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004640708,0.0006892221,0.0007098975,0.0000481571,0.000426354,0.0003784723,0.0007629607,0.0003812303,0.01149999],"category_scores_gemma":[0.0002121154,0.0006994923,0.0002500169,0.0003467962,0.0007144252,0.0004997374,0.0005439444,0.0003826545,0.007537781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000335521,"about_ca_system_score_gemma":0.0002438191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002837594,"about_ca_topic_score_gemma":0.00003421725,"domain_scores_codex":[0.996287,0.0001024784,0.0009203178,0.001115991,0.0005483941,0.001025848],"domain_scores_gemma":[0.9976996,0.0001883315,0.0005240754,0.0009758665,0.0002232296,0.0003888803],"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":[0.00007704031,0.0002499757,0.0004268171,0.0002096251,0.0001063942,0.00001655478,0.0003379318,0.00008575719,0.9863341,0.000008583378,0.01039634,0.001750878],"study_design_scores_gemma":[0.0005453455,0.00002689849,0.0003640523,0.00008830443,0.0000749258,0.00004028067,0.0004634315,0.0002713513,0.8663054,0.00001306927,0.1311287,0.000678265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619995,0.0136426,0.00001295246,0.003007964,0.0015474,0.0002419175,0.0004311937,0.0003226584,0.01879378],"genre_scores_gemma":[0.9771166,0.001274205,0.0006126891,0.0005256127,0.001280067,0.0000402517,0.00002775638,0.00006596554,0.01905686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207324,"threshold_uncertainty_score":0.9995456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580360403921651,"score_gpt":0.2683766704955806,"score_spread":0.2425730664563641,"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."}}