{"id":"W4412886659","doi":"10.12688/f1000research.162577.2","title":"“It’s messy and it’s massive”: How has the open science debate developed in the post-COVID era?","year":2025,"lang":"en","type":"preprint","venue":"F1000Research","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Arts and Humanities Research Council","keywords":"Open peer review; Coronavirus disease 2019 (COVID-19); Open science; Plant biology; Open data; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Physiology; Medicine; Neuroscience; History; Biology; Virology; Political science; Pathology; Infectious disease (medical specialty); Law; Astronomy; Disease; Physics; Outbreak","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.1054397,0.0002951391,0.0009131416,0.005167236,0.01181123,0.0405762,0.002296525,0.009634976,0.004842862],"category_scores_gemma":[0.1877083,0.0004409994,0.0007708149,0.01083754,0.04951652,0.03431476,0.01105365,0.01259876,0.0009913117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0261256,"about_ca_system_score_gemma":0.02944442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01590443,"about_ca_topic_score_gemma":0.01514347,"domain_scores_codex":[0.919562,0.05705289,0.002945421,0.004579786,0.01211139,0.003748518],"domain_scores_gemma":[0.7937716,0.1684781,0.0100145,0.005917394,0.01409654,0.007721764],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001936802,0.00005414375,0.004820497,0.001288212,0.00006867229,0.0004489721,0.1664646,0.0003135598,0.0004038345,0.6870047,0.06870354,0.07023554],"study_design_scores_gemma":[0.00003944437,0.0000447949,0.008239271,0.003247182,0.00003133959,0.0002196361,0.1569146,0.0004711592,0.0006377097,0.1631354,0.6668835,0.0001360398],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05532537,0.02058879,0.003196163,0.8805655,0.003482569,0.00004944651,0.0002481609,0.00003458177,0.03650952],"genre_scores_gemma":[0.8575192,0.02238969,0.003643087,0.1029666,0.003583679,0.0001667598,0.0003439969,0.0002107644,0.009176218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9977035,"threshold_uncertainty_score":0.5576253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7318407363937084,"score_gpt":0.617907542556378,"score_spread":0.1139331938373304,"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."}}