{"id":"W2109277636","doi":"10.1039/c4ay01919a","title":"Development and application of an ELISA method for the analysis of protein-based binding media of artworks","year":2014,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"Division of Chemistry; Sherman Fairchild Foundation; National Science Foundation","keywords":"Chemistry; Computer science; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001725215,0.00007585002,0.0002750681,0.00008313779,0.00003763988,0.000003731833,0.0001443972,0.00008280972,0.000003786942],"category_scores_gemma":[0.0003953382,0.00005466618,0.0001017254,0.0003508491,0.0001010934,0.000001652354,0.00003279734,0.00003351451,6.910436e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002250218,"about_ca_system_score_gemma":0.00003068104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000196524,"about_ca_topic_score_gemma":0.00002203364,"domain_scores_codex":[0.9991332,0.0001749741,0.0003315566,0.0001996543,0.00007020099,0.00009040219],"domain_scores_gemma":[0.9989548,0.0003596928,0.0001891863,0.0003292925,0.0001229098,0.0000441135],"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":[0.00002827699,0.00004630865,0.00008617058,0.00002620311,0.0002227369,3.000028e-9,0.00003127807,0.0004355661,0.7889629,0.007327245,0.000003048734,0.2028303],"study_design_scores_gemma":[0.0001896537,0.00003212192,0.002815657,0.000005017028,0.0007400257,9.283648e-8,0.00003385599,0.1478079,0.8403274,0.0002128296,0.007767877,0.00006747456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2539021,0.00006706395,0.7457498,0.00004094009,0.00000591374,0.0001957539,0.00001533412,0.000001518321,0.00002153844],"genre_scores_gemma":[0.3862883,0.000003383187,0.6135651,0.00002155279,0.00002163374,0.00005178588,0.00003779243,0.000004696096,0.000005644598],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2027628,"threshold_uncertainty_score":0.2229222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084373421929434,"score_gpt":0.3721382701845088,"score_spread":0.3512945359652144,"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."}}