{"id":"W1984489742","doi":"10.1103/physreve.73.051903","title":"Reconstructing DNA replication kinetics from small DNA fragments","year":2006,"lang":"en","type":"article","venue":"Physical Review E","topic":"DNA Repair Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Replication (statistics); Estimator; DNA replication; DNA; Fragment (logic); Domain (mathematical analysis); Biology; Mathematics; Statistical physics; Algorithm; Computational biology; Physics; Statistics; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009405517,0.0005497545,0.0005822634,0.001226602,0.0002793281,0.0006998189,0.0009370699,0.0007935109,0.0008034701],"category_scores_gemma":[0.006796093,0.0008237534,0.0005702763,0.001033532,0.0005661859,0.001165998,0.0005905576,0.001090579,0.0003862247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007312184,"about_ca_system_score_gemma":0.0005304698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00241865,"about_ca_topic_score_gemma":0.001935341,"domain_scores_codex":[0.9997687,0.00005868179,0.00001425091,0.00006728663,0.00007204476,0.00001907398],"domain_scores_gemma":[0.9971928,0.001893547,0.0002823958,0.0003846139,0.000159706,0.00008695097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002572772,0.00006570008,0.00773652,0.0002338429,0.00006328041,0.0002441636,0.0002175353,0.8046082,0.1293281,0.01799903,0.0004518686,0.03879454],"study_design_scores_gemma":[0.00001049551,0.00002066314,0.002036475,0.000009515858,0.000007186071,0.00007257266,0.00002059385,0.9636146,0.02403643,0.009260633,0.0008852027,0.00002568466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.263412,0.0006598897,0.7334655,0.0001177414,0.00002311612,0.00002895429,0.000470105,0.0007026935,0.00111999],"genre_scores_gemma":[0.8016367,0.0008058797,0.1945953,0.00003380309,0.00002182671,0.00007820919,0.001248678,0.0002331609,0.00134644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00241865,"threshold_uncertainty_score":0.00530535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525071921946672,"score_gpt":0.2724898216330255,"score_spread":0.2572391024135589,"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."}}