{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02086416,0.002586681,0.00256211,0.007652994,0.001506829,0.008140229,0.004226949,0.008545687,0.01485376],"category_scores_gemma":[0.1077762,0.001848767,0.002676055,0.003542202,0.002592354,0.007680209,0.003135286,0.01909635,0.01576664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308436,"about_ca_system_score_gemma":0.004041844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009131864,"about_ca_topic_score_gemma":0.002440979,"domain_scores_codex":[0.9821526,0.004917054,0.004877975,0.0007751884,0.006929213,0.0003479025],"domain_scores_gemma":[0.8148752,0.1270593,0.007592667,0.006136147,0.03547307,0.008863549],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000174591,0.00001530013,0.00006778914,0.000424164,0.00002954822,0.00006556784,0.00006697913,0.00005790206,0.0000879064,0.0006670536,0.9701323,0.02836799],"study_design_scores_gemma":[0.00002804124,0.00001444202,0.000163244,0.0006396805,0.00003362546,0.0002313424,0.00003446113,0.0002291093,0.00008435779,0.001666276,0.9968542,0.00002116672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000267367,0.02595321,0.02599407,0.1444261,0.7893872,0.0002422628,0.001266881,0.006103149,0.006359809],"genre_scores_gemma":[0.001902248,0.03883939,0.01903727,0.06807518,0.8415164,0.0004728547,0.001378818,0.004599591,0.02417828],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9791359,"threshold_uncertainty_score":0.1103415,"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."}}