{"id":"W2337943649","doi":"10.1093/ije/dyw064","title":"Software Application Profiles: useful and novel software for epidemiological data analysis","year":2016,"lang":"en","type":"editorial","venue":"International Journal of Epidemiology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Software; Computer science; Epidemiology; Medicine; Data mining; Programming language; Pathology","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01318274,0.0004232541,0.001493151,0.0003089054,0.0001167822,0.00002067485,0.002275617,0.0009879861,0.0004223539],"category_scores_gemma":[0.1254084,0.0003049191,0.0003368268,0.0001787919,0.0006484277,0.0004540335,0.001214862,0.0009556379,0.0000639089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007070194,"about_ca_system_score_gemma":0.0001560779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508559,"about_ca_topic_score_gemma":0.00007486292,"domain_scores_codex":[0.9943356,0.0008557124,0.002132532,0.001372173,0.000722329,0.0005816561],"domain_scores_gemma":[0.9616624,0.03360549,0.003268233,0.000839294,0.0003036605,0.0003209262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002716431,0.0001404302,0.1444537,0.00003266575,0.001551091,0.00001345906,0.00002867132,0.0005729605,0.00008990747,0.0001083183,0.7962548,0.05648237],"study_design_scores_gemma":[0.0009539759,0.0001896194,0.03445648,0.000111383,0.0006395915,0.00003832034,0.00001125657,0.001080939,0.000005964324,0.007513684,0.9546462,0.0003525792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.0005902523,0.0003628684,0.8864519,0.002668293,0.1061628,0.0004601057,0.003251044,0.00002299352,0.00002975167],"genre_scores_gemma":[0.003404302,0.004651435,0.3812629,0.004215742,0.5987332,0.0002241426,0.006910305,0.0001363257,0.0004615559],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.505189,"threshold_uncertainty_score":0.9999403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07195840468870723,"score_gpt":0.3948751075551789,"score_spread":0.3229167028664716,"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."}}