{"id":"W4361232753","doi":"10.5281/zenodo.7784982","title":"ATR: SCAF1 immunoprecipitation","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"interferon and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Immunoprecipitation; Chemistry; Computer science; Biochemistry; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004764423,0.004996502,0.005491836,0.005424394,0.003018809,0.003700515,0.005022494,0.002042523,0.3486528],"category_scores_gemma":[0.005941897,0.003364815,0.002790031,0.00382158,0.001325145,0.002061793,0.002030914,0.006840929,0.2086162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961781,"about_ca_system_score_gemma":0.00338282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357299,"about_ca_topic_score_gemma":0.005724541,"domain_scores_codex":[0.9966472,0.0007045169,0.0006533079,0.0009180697,0.0006484477,0.0004284516],"domain_scores_gemma":[0.9966354,0.001341408,0.0003351946,0.0008373614,0.0004869775,0.0003637858],"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":[0.003715653,0.000656323,0.002204104,0.006377698,0.0005482225,0.0007691678,0.000581982,0.00264568,0.1348891,0.006910825,0.7973037,0.04339765],"study_design_scores_gemma":[0.002059791,0.0007674788,0.007670022,0.001368848,0.0005978029,0.002200478,0.0003854198,0.0127522,0.1601941,0.01232343,0.7990392,0.0006412324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005103549,0.001220067,0.1515666,0.000565846,0.000942676,0.002311356,0.7530561,0.07598826,0.009245634],"genre_scores_gemma":[0.01457976,0.001392519,0.2349985,0.001298496,0.0002288159,0.01411003,0.6492429,0.05530449,0.02884451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3486528,"threshold_uncertainty_score":0.9290677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238702869776949,"score_gpt":0.2555304174126968,"score_spread":0.2231433887149273,"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."}}