{"id":"W4393545019","doi":"10.5281/zenodo.832329","title":"Expression And Purification Of Three Different Constructs Of The P53 Protein 2017/07/15","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"P53 protein; Expression (computer science); Protein expression; Computational biology; Chemistry; Biology; Computer science; Genetics; Programming language; 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":[],"consensus_categories":[],"category_scores_codex":[0.001436659,0.002919595,0.001937082,0.002914428,0.0007829324,0.002140435,0.002380843,0.002426794,0.01639054],"category_scores_gemma":[0.002976078,0.0007679109,0.00192264,0.004106102,0.0004981086,0.0008650054,0.001316296,0.001950766,0.0287332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372765,"about_ca_system_score_gemma":0.002668371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144613,"about_ca_topic_score_gemma":0.01759805,"domain_scores_codex":[0.9990219,0.0001561533,0.0001236764,0.0003312648,0.0002297832,0.000137331],"domain_scores_gemma":[0.9991478,0.0002996204,0.0001021226,0.0002098285,0.0001264924,0.0001141543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001326967,0.0002872875,0.006007223,0.004201882,0.0004311857,0.0002272544,0.00008043399,0.002888016,0.006536637,0.001393282,0.9642751,0.01234469],"study_design_scores_gemma":[0.002116114,0.0002537222,0.01792863,0.000672355,0.0005147775,0.0004988253,0.0001489485,0.004366894,0.009733948,0.00366708,0.9599851,0.0001135958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001768421,0.0005013748,0.0003184763,0.00009524594,0.00003950785,0.0000277868,0.9958348,0.0007335537,0.0006807478],"genre_scores_gemma":[0.0007658672,0.000137327,0.0004575604,0.00004229169,0.000002225773,0.00004665665,0.9982337,0.00005430252,0.0002600678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01639054,"threshold_uncertainty_score":0.0548318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878330692389962,"score_gpt":0.2616161668252968,"score_spread":0.2228328599013971,"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."}}