{"id":"W4411362770","doi":"10.31234/osf.io/fs39d_v1","title":"A comparison of scaled difference tests for forming confidence intervals in SEM","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada","keywords":"Confidence interval; Statistics; Mathematics; Econometrics; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09653644,0.001332618,0.001623409,0.004037025,0.0007430433,0.003406428,0.003238895,0.002138383,0.01101455],"category_scores_gemma":[0.5060685,0.0006599794,0.002203912,0.004512454,0.00298827,0.007703185,0.002987972,0.002880241,0.001196401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247305,"about_ca_system_score_gemma":0.001557569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281987,"about_ca_topic_score_gemma":0.0009971999,"domain_scores_codex":[0.89671,0.08631014,0.004205934,0.004878429,0.007369897,0.0005257037],"domain_scores_gemma":[0.404911,0.544618,0.007860686,0.02726396,0.01409814,0.001248173],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003702991,0.0005947594,0.03030866,0.00194817,0.002861754,0.0003469846,0.003012736,0.06852332,0.002692125,0.2664343,0.01150732,0.6080668],"study_design_scores_gemma":[0.00190629,0.005228867,0.04158224,0.001595771,0.001101802,0.0008819802,0.00241437,0.5684583,0.008848906,0.3436247,0.02368599,0.0006707282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1153309,0.003169039,0.8697833,0.0009372138,0.0005619953,0.0005552082,0.001018671,0.001604624,0.007038885],"genre_scores_gemma":[0.4249903,0.0006254433,0.5701582,0.0002944237,0.0001455285,0.001093644,0.001123053,0.0008407595,0.0007287545],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9034635,"threshold_uncertainty_score":0.5105397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05287150153009293,"score_gpt":0.4039377778577006,"score_spread":0.3510662763276077,"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."}}