{"id":"W6950477094","doi":"10.5281/zenodo.7784981","title":"ATR: SCAF1 immunoprecipitation","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Railway Systems and Materials Science","field":"Engineering","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":[0.003944315,0.005285597,0.0046784,0.004224669,0.002413724,0.00368782,0.003955552,0.00216494,0.1828005],"category_scores_gemma":[0.004354021,0.003150614,0.002476245,0.002913554,0.001001358,0.002307999,0.00250587,0.006214283,0.1603706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284555,"about_ca_system_score_gemma":0.001843068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001950563,"about_ca_topic_score_gemma":0.003655092,"domain_scores_codex":[0.9968849,0.0004701039,0.0003598829,0.00124035,0.0006873255,0.0003574591],"domain_scores_gemma":[0.9981068,0.0007123381,0.0001849682,0.0005352853,0.0002905444,0.0001699115],"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":[0.003375434,0.0003651932,0.00253332,0.004398002,0.000683909,0.0006112791,0.0003772326,0.001242744,0.212768,0.003117022,0.7235397,0.04698816],"study_design_scores_gemma":[0.001527059,0.0006217135,0.01061951,0.0006313804,0.0005466875,0.002233093,0.0002063404,0.01250118,0.3033333,0.007635809,0.6595931,0.0005508644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.008043296,0.0015432,0.1891835,0.0006027406,0.0006264205,0.001302121,0.5656549,0.224276,0.00876787],"genre_scores_gemma":[0.01649117,0.001134123,0.2854306,0.001472964,0.000192903,0.006577978,0.5474027,0.1174151,0.02388249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1828005,"threshold_uncertainty_score":0.6115285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572961538138381,"score_gpt":0.2197797098897132,"score_spread":0.1940500945083294,"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."}}