{"id":"W7111093230","doi":"10.1371/journal.pdig.0000802.s002","title":"Study recruitment material.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Leverage (statistics); Public health; Pandemic; Information Dissemination; Health care; Health information; Dissemination; Health professionals","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002478909,0.0003973774,0.0005607492,0.0003622663,0.0001911098,0.0001652924,0.0002704249,0.0001875979,0.6650885],"category_scores_gemma":[0.005644894,0.0003914242,0.0001502082,0.0008374907,0.000009754827,0.0001495746,0.0004308643,0.0003347767,0.01044187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008223142,"about_ca_system_score_gemma":0.0009342139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004982136,"about_ca_topic_score_gemma":0.00001076172,"domain_scores_codex":[0.9971746,0.000209396,0.0006328672,0.0009706201,0.000474099,0.0005384246],"domain_scores_gemma":[0.9975815,0.0001479819,0.0002008745,0.001560864,0.0003003879,0.0002083937],"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":[0.0003811802,0.001942945,0.001340285,0.001889113,0.0004479513,0.0002413838,0.001212988,0.000007940192,0.0007204565,0.000008371228,0.9553393,0.03646806],"study_design_scores_gemma":[0.002798685,0.001355151,0.103889,0.009837957,0.0004711616,0.00001773438,0.001788638,0.00002599366,0.009926408,0.00004317781,0.8694652,0.0003808067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06834486,0.005800477,0.0000034069,0.02131501,0.01335122,0.04418658,0.7915168,0.00119398,0.05428765],"genre_scores_gemma":[0.8932472,0.00002340297,0.00002110962,0.002787097,0.001688594,0.002950527,0.0668089,0.0000684398,0.03240472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8249024,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2193019867714935,"score_gpt":0.439273069673992,"score_spread":0.2199710829024986,"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."}}