{"id":"W6976945731","doi":"10.6084/m9.figshare.14788632.v1","title":"Additional file 1 of Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Aggregate (composite); Aggregate data; Data file; Component (thermodynamics); Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","metaepi_broad"],"domain":"methods","study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002156968,0.0003422436,0.001386138,0.00006390214,0.00007989373,0.00005904523,0.000467752,0.0001650252,0.9955108],"category_scores_gemma":[0.03369872,0.0001858449,0.0004071002,0.0003404223,0.00002524193,0.0001570832,0.0004904869,0.0002570171,0.0003560128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001421166,"about_ca_system_score_gemma":0.00003980381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001118492,"about_ca_topic_score_gemma":0.00001758587,"domain_scores_codex":[0.9975441,0.0007758852,0.00053849,0.0005802163,0.0003371443,0.0002242424],"domain_scores_gemma":[0.9880027,0.0107216,0.0001653395,0.0008167383,0.0002039146,0.0000896885],"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":[0.00001473709,0.0001226509,0.000001853791,0.00002829178,0.002769164,0.00003393713,0.000002490837,0.002947303,0.000159309,0.000001168865,0.9934563,0.0004627831],"study_design_scores_gemma":[0.001057437,0.0004162644,0.02058195,0.00130233,0.007646993,0.00001761937,0.0002774937,0.0442607,0.006336984,0.00122985,0.91551,0.001362358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001240671,0.000530224,0.00004202247,0.0001129523,0.00005273773,0.0001582989,0.998157,0.000218888,0.0006037913],"genre_scores_gemma":[0.01255707,0.000004687874,0.01145126,0.000201616,0.000105466,0.001228127,0.9743609,0.00001753799,0.00007326605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9951548,"threshold_uncertainty_score":0.9744409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5199242974097767,"score_gpt":0.3867582678563971,"score_spread":0.1331660295533796,"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."}}