{"id":"W2891279096","doi":"10.1101/411355","title":"Limited significance of the in situ proximity ligation assay","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Laboratoire d'Excellence EpiGenMed; Agence Nationale de la Recherche","keywords":"Proximity ligation assay; In situ; Ligation; Computational biology; Resolution (logic); Antibody; Macromolecule; Scale (ratio); Chemistry; Biology; Biological system; Computer science; Biophysics; Molecular biology; Physics; Biochemistry; Artificial intelligence; Immunology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007178002,0.0003397906,0.0003670488,0.0001159853,0.00007199992,0.00003628244,0.000528148,0.0006259549,9.99812e-7],"category_scores_gemma":[0.0004548221,0.0002801263,0.0001942661,0.0004514353,0.000290977,0.000007059477,0.0005038718,0.0003837981,0.000001725007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008312748,"about_ca_system_score_gemma":0.0003181473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002493624,"about_ca_topic_score_gemma":0.00002918467,"domain_scores_codex":[0.9979593,0.0002489397,0.0004832551,0.0007600511,0.0002563967,0.0002920277],"domain_scores_gemma":[0.9974777,0.00001878013,0.0005664055,0.001362131,0.0005091043,0.0000658471],"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":[0.00003143521,0.00009748137,0.007965213,0.00009160926,0.00005825934,0.000001672028,0.000002117598,0.0000128968,0.9915417,0.00002501062,0.0001683238,0.000004273272],"study_design_scores_gemma":[0.0001436591,0.00005436892,0.0486872,0.0002291174,0.00005039838,7.279707e-9,0.0000011936,0.00007986176,0.9494464,0.000006762089,0.0009826705,0.0003184113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967472,0.0002369702,0.001853347,0.0001596738,0.0002421812,0.0005998387,0.0000739282,0.00006645738,0.00002039371],"genre_scores_gemma":[0.9938424,0.0001593266,0.005479267,0.0001235319,0.0002798142,0.00005888757,0.000001244553,0.00004722774,0.000008293045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04209536,"threshold_uncertainty_score":0.9999651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104831162057517,"score_gpt":0.2353722645617711,"score_spread":0.2243239529411959,"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."}}