{"id":"W6962548765","doi":"10.17605/osf.io/cynbf","title":"Diener Replication, TUT0401, W19","year":2019,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diener; Replication (statistics); Depression (economics); Human physiology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03750779,0.001851239,0.002017526,0.002978343,0.007101786,0.006419964,0.002938336,0.003374259,0.1938326],"category_scores_gemma":[0.2925673,0.001308804,0.002307865,0.006575746,0.003015351,0.004485135,0.005354909,0.003890291,0.07453746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906975,"about_ca_system_score_gemma":0.01124971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199326,"about_ca_topic_score_gemma":0.02922506,"domain_scores_codex":[0.9667603,0.01668563,0.003307515,0.005869635,0.005640643,0.001736306],"domain_scores_gemma":[0.8457758,0.02654376,0.004933637,0.08598564,0.03346225,0.003298845],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002550315,0.0004540459,0.01169483,0.001087001,0.0007917716,0.0003803948,0.003065981,0.0005039987,0.002157367,0.02523071,0.8966779,0.05540563],"study_design_scores_gemma":[0.003311669,0.0009113199,0.07702275,0.001249465,0.0011475,0.0006535932,0.002896064,0.00139378,0.002996148,0.05379319,0.8542591,0.0003652937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07019517,0.002637355,0.09521617,0.01931038,0.04137782,0.01802506,0.591467,0.008101474,0.1536696],"genre_scores_gemma":[0.3487296,0.0006294026,0.08300761,0.01154284,0.002547935,0.05130333,0.2567093,0.01135224,0.2341777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9624922,"threshold_uncertainty_score":0.6484346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.090277183819381,"score_gpt":0.3815072026933023,"score_spread":0.2912300188739214,"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."}}