{"id":"W2609245071","doi":"10.1158/0008-5472.can-16-2258","title":"Widespread Use of Misidentified Cell Line KB (HeLa): Incorrect Attribution and Its Impact Revealed through Mining the Scientific Literature","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"HeLa; Attribution; Authorship attribution; Scientific literature; Cancer; Cancer cell lines; Cell culture; Medicine; Psychology; Computer science; Biology; Internal medicine; Genetics; Cancer cell; Natural language processing; Social psychology","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03200523,0.0005719076,0.0009262312,0.05085424,0.001414901,0.005867421,0.001192677,0.001041253,0.002924712],"category_scores_gemma":[0.166893,0.0003278102,0.001159278,0.03745453,0.001989681,0.003653193,0.002325158,0.0009046799,0.000910944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951849,"about_ca_system_score_gemma":0.003933051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002148031,"about_ca_topic_score_gemma":0.003841982,"domain_scores_codex":[0.9612114,0.009204574,0.01282208,0.00276466,0.01309418,0.0009030166],"domain_scores_gemma":[0.506602,0.3233182,0.103367,0.01661846,0.04747868,0.002615504],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000854422,0.000214719,0.5611761,0.02677795,0.002430301,0.008433551,0.008992454,0.000534904,0.01437993,0.004943752,0.01663676,0.354625],"study_design_scores_gemma":[0.00008264733,0.0004213163,0.6824381,0.03165304,0.007772062,0.01538268,0.01553835,0.003157661,0.02899793,0.01180326,0.2025045,0.0002483882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.689117,0.2365576,0.01175671,0.02023025,0.002855203,0.0006765894,0.01472271,0.0003671824,0.02371681],"genre_scores_gemma":[0.9184511,0.0582119,0.01170563,0.002377536,0.001438007,0.0002325409,0.005431627,0.0001271148,0.002024556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9989588,"threshold_uncertainty_score":0.1692619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09198637834454246,"score_gpt":0.4459731720196674,"score_spread":0.353986793675125,"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."}}