{"id":"W4398395125","doi":"10.7910/dvn/7s6fwb","title":"Replication Data for: Psychometric properties of the Emotion Regulation Questionnaire","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Mental Health Research Topics","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Psychology; Clinical psychology; Applied psychology; Computer science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001406408,0.0001993491,0.0002905086,0.0002660509,0.0001920646,0.00004483594,0.001811045,0.0003341553,0.003996529],"category_scores_gemma":[0.002486948,0.0001540175,0.00007962889,0.000698191,0.0001438197,0.0002638997,0.0007834371,0.0003702326,0.002876567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804776,"about_ca_system_score_gemma":0.0002671269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007828397,"about_ca_topic_score_gemma":0.0002554112,"domain_scores_codex":[0.9970903,0.0005150286,0.000606087,0.0009266279,0.0005657835,0.0002961895],"domain_scores_gemma":[0.9883086,0.00006800878,0.0005540901,0.01070526,0.0002813224,0.00008269802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001028247,0.000201189,0.00005378482,0.00108897,0.0000555946,7.335249e-7,0.00003117894,9.572667e-7,0.00006141995,0.0001735011,0.9907639,0.007465931],"study_design_scores_gemma":[0.0004365777,0.00005714743,0.003819405,0.0005455407,0.00008534505,0.00001256927,0.00007927158,0.00008369128,0.00008685619,0.00005067079,0.9946079,0.0001350681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001764961,0.00005717042,0.0002744492,0.000114651,0.001995099,0.001592177,0.9956956,0.00002287617,0.00007149389],"genre_scores_gemma":[0.0004774588,0.0003018622,0.0002087005,0.0001574454,0.0003855175,0.000183666,0.9968894,0.0000230144,0.001372957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009778635,"threshold_uncertainty_score":0.9978998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1637850076330605,"score_gpt":0.4049051219056309,"score_spread":0.2411201142725704,"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."}}