{"id":"W4367059658","doi":"10.31219/osf.io/ywa9c","title":"Some problems with zooming out as science reform","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"Directorate for Computer and Information Science and Engineering; Microsoft Research; National Science Foundation","keywords":"Status quo; Rendering (computer graphics); Interpretability; Computer science; Zoom; Empirical research; Artificial intelligence; Management science; Mathematics; Political science; Statistics; Economics; Engineering","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":[0.1587434,0.002608367,0.002160486,0.002550342,0.003909379,0.00679543,0.005207028,0.005660732,0.02105604],"category_scores_gemma":[0.4027636,0.001749775,0.002373338,0.003089426,0.02977305,0.01854068,0.007579173,0.01714721,0.00338165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003605404,"about_ca_system_score_gemma":0.00243862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002856721,"about_ca_topic_score_gemma":0.002953151,"domain_scores_codex":[0.9147597,0.06249205,0.003284684,0.007548354,0.01121753,0.0006977338],"domain_scores_gemma":[0.5818364,0.3351979,0.01043135,0.05612206,0.01465349,0.001758736],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003235404,0.000091778,0.0008048741,0.0008274086,0.0001074898,0.00008119162,0.008180575,0.00219515,0.001089566,0.8408092,0.02871522,0.116774],"study_design_scores_gemma":[0.000301759,0.0001489474,0.0007579444,0.0004876732,0.00005919928,0.0001787328,0.001070577,0.005304836,0.001952336,0.8922891,0.09733785,0.0001111158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.007191351,0.01096162,0.8205109,0.119189,0.003621713,0.0008815107,0.0004026474,0.003278922,0.03396227],"genre_scores_gemma":[0.1581833,0.003737461,0.7665182,0.04662324,0.004277939,0.004986772,0.0002136087,0.00216695,0.01329248],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8412566,"threshold_uncertainty_score":0.8395253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2540495683739293,"score_gpt":0.5027889890016738,"score_spread":0.2487394206277445,"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."}}