{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01510342,0.001236801,0.001487692,0.001637742,0.001217203,0.00449942,0.002669053,0.002037093,0.006575833],"category_scores_gemma":[0.05730076,0.0007594205,0.0005859489,0.001477121,0.00283842,0.00286088,0.002946111,0.003834969,0.004407685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178976,"about_ca_system_score_gemma":0.001186663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112447,"about_ca_topic_score_gemma":0.0006316722,"domain_scores_codex":[0.966172,0.01739183,0.001691972,0.004839776,0.008977788,0.0009265891],"domain_scores_gemma":[0.9338981,0.04328064,0.002831021,0.01035472,0.00854184,0.001093633],"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":[0.001602385,0.0002700937,0.01236964,0.003324418,0.0002681724,0.001102523,0.001607214,0.002759097,0.7766543,0.03243565,0.01346074,0.1541458],"study_design_scores_gemma":[0.00003521502,0.0006585715,0.008740303,0.000587504,0.0002702989,0.002876348,0.0005093977,0.008186642,0.8373534,0.02128125,0.1194053,0.00009570091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.286456,0.04335686,0.542149,0.01743711,0.005725005,0.0009454758,0.004991058,0.004079198,0.09486017],"genre_scores_gemma":[0.895235,0.008508924,0.07256895,0.002960258,0.0009418485,0.0009215177,0.002801141,0.001079191,0.01498319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01510342,"threshold_uncertainty_score":0.07987547,"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."}}