{"id":"W7113224166","doi":"","title":"Short Dark Tetrad (SD4): Measurement invariance across Serbian and Canadian samples and further validation","year":2024,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tetrad; Measurement invariance; Serbian; Measure (data warehouse); Reflectivity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01571405,0.001449018,0.001481703,0.002350845,0.005926376,0.004075691,0.002844093,0.0009632192,0.04996976],"category_scores_gemma":[0.06127357,0.0008545748,0.002385998,0.003948444,0.00234771,0.002165017,0.003586761,0.002784482,0.008647668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005901455,"about_ca_system_score_gemma":0.01563852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5621217,"about_ca_topic_score_gemma":0.663524,"domain_scores_codex":[0.9929622,0.00212633,0.0005052972,0.001333799,0.002068386,0.001004023],"domain_scores_gemma":[0.9535553,0.01201888,0.002169605,0.009424324,0.0207268,0.002105142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001871024,0.0003898283,0.3642662,0.0005371101,0.001258372,0.000301621,0.01332956,0.001967142,0.002624814,0.06246912,0.3601336,0.1908516],"study_design_scores_gemma":[0.0003884743,0.0003222549,0.7881181,0.0004552379,0.0005639576,0.000223953,0.008194669,0.003950187,0.002037002,0.02827053,0.1671925,0.0002830098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6960919,0.001537598,0.074697,0.004399329,0.002737951,0.002464714,0.1245521,0.003077014,0.09044242],"genre_scores_gemma":[0.8018727,0.000297956,0.04777402,0.001026466,0.0001854557,0.004895293,0.08958628,0.003230504,0.05113132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4378783,"threshold_uncertainty_score":0.8809141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04386270027946298,"score_gpt":0.2786208913424488,"score_spread":0.2347581910629858,"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."}}