{"id":"W4229615719","doi":"10.31234/osf.io/dg4be","title":"Can Researchers’ Personal Characteristics Shape Their Statistical Inferences?","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Affect (linguistics); Psychology; Statistical hypothesis testing; Bayesian probability; Statistical inference; Statistical analysis; Bayesian inference; Statistical model; Social psychology; Cognitive psychology; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.2881308,0.0009291888,0.001896291,0.003646843,0.002045685,0.006776674,0.001797891,0.0033418,0.004951887],"category_scores_gemma":[0.6957209,0.001036124,0.00212323,0.003823839,0.007997757,0.007466814,0.003303135,0.004351909,0.001640533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493797,"about_ca_system_score_gemma":0.002455475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109341,"about_ca_topic_score_gemma":0.003152582,"domain_scores_codex":[0.7465422,0.1875427,0.0202274,0.01883636,0.02443932,0.002412014],"domain_scores_gemma":[0.1916635,0.6439321,0.06614824,0.07685418,0.01790323,0.003498691],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002088685,0.00078025,0.5305863,0.004751268,0.009575869,0.0011977,0.05789756,0.003770964,0.004800586,0.0506488,0.01736102,0.3165409],"study_design_scores_gemma":[0.0006503332,0.001725475,0.5978546,0.004940452,0.003730108,0.003211766,0.02364723,0.01520244,0.009313057,0.2797635,0.05886837,0.001092538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5312626,0.01617219,0.3437184,0.04912943,0.003943054,0.002332472,0.002585076,0.0007122215,0.05014456],"genre_scores_gemma":[0.918367,0.001646841,0.06738338,0.008357313,0.0009130571,0.001284545,0.0004294477,0.0002316299,0.001386905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7118692,"threshold_uncertainty_score":0.8778615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3894410317878214,"score_gpt":0.4926625909567847,"score_spread":0.1032215591689634,"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."}}