{"id":"W6926626976","doi":"10.25417/uic.14253290","title":"A backward procedure for change-point detection with applications to copy number variation detection","year":2020,"lang":"en","type":"article","venue":"University of Illinois Chicago","topic":"Planarian Biology and Electrostimulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exploit; Variation (astronomy); Detection theory; Statistical analysis; Variety (cybernetics); Simple (philosophy); Statistical model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02581023,0.001945755,0.002474575,0.004030944,0.001730173,0.001542567,0.003481564,0.002794447,0.01146785],"category_scores_gemma":[0.06497879,0.001298969,0.003175039,0.004134592,0.00272369,0.001982375,0.003630494,0.006150281,0.00397579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124445,"about_ca_system_score_gemma":0.005223227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006614397,"about_ca_topic_score_gemma":0.006967608,"domain_scores_codex":[0.9858987,0.009266728,0.0006903,0.001773877,0.002025838,0.000344539],"domain_scores_gemma":[0.9618774,0.0294909,0.001280855,0.003744809,0.003176837,0.0004293025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001034405,0.0003358565,0.007675939,0.0007983288,0.001194907,0.0007540584,0.0005912887,0.07557175,0.01832271,0.1755827,0.01643809,0.7016999],"study_design_scores_gemma":[0.0002373645,0.0003394319,0.003169257,0.00009852319,0.0001964933,0.0006298269,0.00006303866,0.8258626,0.009694626,0.1318417,0.02765748,0.0002096415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008945295,0.0001198227,0.9978762,0.0001189528,0.00008658855,0.00007820834,0.0001185524,0.0005483894,0.0001587175],"genre_scores_gemma":[0.02039578,0.0001921881,0.9755268,0.0001926366,0.0001232948,0.0007138684,0.0004891166,0.0004943684,0.001871984],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02581023,"threshold_uncertainty_score":0.1364992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203509966657651,"score_gpt":0.2123173272283279,"score_spread":0.2002822275617514,"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."}}