{"id":"W6967290733","doi":"10.5281/zenodo.10581731","title":"ATR: SCAF1 immunoprecipitation","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Immunoprecipitation; Spectral line; Antibody; Monoclonal antibody","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":[0.004148363,0.005217546,0.00480758,0.004655123,0.002424539,0.003569244,0.00388899,0.001984766,0.2031876],"category_scores_gemma":[0.003879113,0.003120375,0.002548588,0.003137274,0.001008892,0.002121322,0.002396247,0.006158745,0.1579231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145748,"about_ca_system_score_gemma":0.002001057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002231276,"about_ca_topic_score_gemma":0.004170361,"domain_scores_codex":[0.9969633,0.0004566004,0.000390114,0.00118497,0.0006395102,0.0003654643],"domain_scores_gemma":[0.9981421,0.0006551836,0.0001812659,0.000542825,0.0002859628,0.0001927032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00381277,0.0004333325,0.002940587,0.004770105,0.0008140082,0.000700649,0.00044845,0.001408158,0.2490562,0.003922285,0.67717,0.05452351],"study_design_scores_gemma":[0.001662837,0.0006622074,0.01167192,0.0005990593,0.000607102,0.002267889,0.0002116125,0.01357813,0.3214563,0.008025253,0.6386659,0.000591756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009011859,0.00146327,0.2118995,0.0006126244,0.0006345999,0.001695866,0.5665505,0.1983826,0.009749196],"genre_scores_gemma":[0.01912289,0.001264415,0.3127063,0.001453862,0.000211888,0.009764454,0.5142598,0.1111966,0.03001991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2031876,"threshold_uncertainty_score":0.6797301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756479338311642,"score_gpt":0.2437412826804732,"score_spread":0.2161764892973567,"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."}}