{"id":"W3153528569","doi":"10.1016/j.ekir.2021.03.087","title":"POS-080 RNASCOPE MULTIPLEX IN SITU HYBRIDIZATION: A POWERFUL COMPLEMENT FOR STUDIES OF PROTEIN-PROTEIN INTERACTIONS IN COMPLEX TISSUES.","year":2021,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Multiplex; Computational biology; Medicine; In situ; In situ hybridization; Antibody; Bioinformatics; Biology; Immunology; Biochemistry; Chemistry; Messenger RNA","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":[0.001885874,0.001392461,0.0006613299,0.001870964,0.00066246,0.001198237,0.000794014,0.0009481817,0.02230301],"category_scores_gemma":[0.001002117,0.0007343527,0.0004946622,0.0008281498,0.0007307283,0.001162915,0.0008763674,0.001692687,0.006734236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000414278,"about_ca_system_score_gemma":0.0007639676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004734038,"about_ca_topic_score_gemma":0.002209563,"domain_scores_codex":[0.9987671,0.0003274952,0.00007304375,0.0004215612,0.0003273785,0.00008338391],"domain_scores_gemma":[0.9992104,0.0003058724,0.0001029417,0.0001641458,0.0001174305,0.00009922761],"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":[0.00007088811,0.00001410688,0.0002253851,0.0001498306,0.00001524118,0.00008289572,0.00003557102,0.00004824624,0.9894392,0.0007747517,0.000892828,0.008251083],"study_design_scores_gemma":[0.00004907829,0.0003169673,0.006545202,0.00009531267,0.00009555567,0.00229216,0.00009836374,0.004990252,0.9310513,0.001732754,0.05268095,0.00005225638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09675522,0.007970073,0.828046,0.001002759,0.0008689162,0.0004501618,0.006033314,0.01231959,0.04655402],"genre_scores_gemma":[0.2122356,0.009568187,0.7126166,0.001421464,0.0004688485,0.001788297,0.009128865,0.003008181,0.04976402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02230301,"threshold_uncertainty_score":0.07461101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028368288998543,"score_gpt":0.4278691991232579,"score_spread":0.3250323702234036,"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."}}