{"id":"W4384464070","doi":"","title":"http://programminghistorian.org/lessons/normalizing-data","year":2012,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002877426,0.0004528975,0.0007672312,0.0009567096,0.0004773325,0.001570125,0.01404422,0.000187015,0.001053717],"category_scores_gemma":[0.0006451783,0.0004407316,0.0001811411,0.001951538,0.0001609541,0.01712113,0.00727729,0.0006912875,0.00006844974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269181,"about_ca_system_score_gemma":0.0001666337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005243025,"about_ca_topic_score_gemma":0.00002233392,"domain_scores_codex":[0.9958712,0.0002987967,0.001040073,0.0008296742,0.001054125,0.0009061583],"domain_scores_gemma":[0.9946889,0.0003108471,0.001256374,0.002743206,0.0004335579,0.0005671527],"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":[0.0001278483,0.001059176,0.1982516,0.0001823111,0.0002962309,0.00008824385,0.0008659918,0.00004508415,0.06432111,0.01207564,0.1295355,0.5931513],"study_design_scores_gemma":[0.0005066184,0.00002976764,0.08647636,0.0003075445,0.00007431919,0.0001301643,0.00005243047,0.0006205886,0.1100769,0.01048578,0.7900566,0.00118293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03275806,0.04552398,0.9035126,0.0007930593,0.006491463,0.001284635,0.00006254603,0.001374036,0.008199612],"genre_scores_gemma":[0.9162017,0.005623626,0.07585853,0.0005778705,0.0009164525,0.0001239981,0.00002259714,0.0001040398,0.0005712187],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8834436,"threshold_uncertainty_score":0.9998595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4097334032373298,"score_gpt":0.589120730306687,"score_spread":0.1793873270693572,"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."}}