{"id":"W6958366876","doi":"10.6084/m9.figshare.20799367","title":"Supplementary Materials","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Information Systems and Technology Applications","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PsycINFO; CINAHL; Pandemic; Meta-analysis; Odds; Odds ratio","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003001242,0.000129007,0.0001372784,0.0003139634,0.0001061181,0.00009815738,0.0003058152,0.0001227249,0.9961568],"category_scores_gemma":[0.00002783743,0.0001303355,0.0000337575,0.0001740812,0.000002913537,0.0001012581,0.0003432015,0.00009160906,0.03657846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001920392,"about_ca_system_score_gemma":0.00001019914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002652124,"about_ca_topic_score_gemma":0.00007501519,"domain_scores_codex":[0.9994411,0.000002015422,0.0001656656,0.0001359044,0.0001255788,0.0001297062],"domain_scores_gemma":[0.9993573,0.000004669189,0.0003238537,0.0002911594,0.00002011503,0.000002879894],"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":[3.729126e-7,0.000005434549,0.000006002906,0.0002750122,0.00001364285,0.000001770536,0.00000148348,7.131698e-8,0.00000158599,0.003080599,0.9964122,0.0002018348],"study_design_scores_gemma":[0.00008750335,7.775762e-7,0.00001575552,0.0001419662,0.000008086133,0.000001234799,0.00003459471,0.000001561879,0.000007598182,0.0000647659,0.9994895,0.0001466771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[7.068278e-7,0.00002369758,1.836768e-7,0.0001198722,0.00009697155,0.0003166411,0.3826323,0.0003010846,0.6165085],"genre_scores_gemma":[0.0001665704,5.703274e-7,0.00001697205,0.001466913,0.001054262,0.001531447,0.79598,0.0001653899,0.1996178],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9595783,"threshold_uncertainty_score":0.9641716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065892867147854,"score_gpt":0.2232759644405769,"score_spread":0.2026170357690984,"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."}}