{"id":"W2620297444","doi":"10.1016/bs.mie.2017.04.005","title":"What Combined Measurements From Structures and Imaging Tell Us About DNA Damage Responses","year":2017,"lang":"en","type":"review","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"DNA damage; Context (archaeology); Computational biology; DNA repair; DNA; Flexibility (engineering); Biology; Cell biology; Fidelity; Biophysics; Nanotechnology; Genetics; Computer science; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.01402471,0.002031489,0.005505868,0.001543532,0.0003348642,0.0002455179,0.002678267,0.00366088,0.0001775058],"category_scores_gemma":[0.01032346,0.001960682,0.0007796032,0.0004364155,0.001592727,0.00006086933,0.001973273,0.002543806,0.00002084866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003387532,"about_ca_system_score_gemma":0.0006166282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003175467,"about_ca_topic_score_gemma":0.0006795477,"domain_scores_codex":[0.9573002,0.03412516,0.002582335,0.003730581,0.0004289853,0.001832702],"domain_scores_gemma":[0.9891654,0.004492563,0.001874359,0.003915187,0.0001891075,0.0003633988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008157264,0.0003438432,0.001318543,0.001196599,0.0006600844,0.0007082414,0.000196625,0.000008630943,0.07881762,0.0004828218,0.0002906955,0.9151605],"study_design_scores_gemma":[0.005230297,0.001938229,0.02031078,0.005462244,0.0012342,0.001276533,0.0001779164,0.00003147897,0.03341806,0.0244912,0.9024928,0.003936316],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01807663,0.9653867,0.006279469,0.00008209714,0.007026711,0.002044228,0.0001504319,0.0001013456,0.0008523209],"genre_scores_gemma":[0.0001656389,0.5345101,0.4629022,0.0005846819,0.0003325967,0.0004104378,0.0002940144,0.0002540715,0.0005462721],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9112242,"threshold_uncertainty_score":0.9997573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1329123108656343,"score_gpt":0.4737296744005222,"score_spread":0.3408173635348878,"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."}}