{"id":"W6923798299","doi":"10.15139/s3/nozyud","title":"Relocation and Romantic Relationships - Longitudinal, 2019-2022","year":2022,"lang":"en","type":"dataset","venue":"UNC Dataverse","topic":"Identity, Memory, and Therapy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relocation; Attrition; Romance; Service (business); Sample (material)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003138495,0.0003288416,0.000515231,0.001873488,0.003575606,0.002262554,0.001083117,0.001046241,0.01154515],"category_scores_gemma":[0.006138706,0.0007580214,0.0007282787,0.002780569,0.0006112811,0.003061141,0.003312805,0.003759971,0.006443701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949254,"about_ca_system_score_gemma":0.003020092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09188218,"about_ca_topic_score_gemma":0.1487582,"domain_scores_codex":[0.9990234,0.0002139387,0.0001130703,0.0001720546,0.0001894365,0.0002880689],"domain_scores_gemma":[0.9959742,0.000309015,0.0009708155,0.0003479563,0.00147453,0.0009234338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004515261,0.0006495221,0.9457728,0.0002729677,0.000106718,0.000334159,0.006213555,0.00009895668,0.0002223707,0.0006150985,0.02083312,0.02442916],"study_design_scores_gemma":[0.00003885734,0.0002132723,0.9709283,0.0002476292,0.00002978818,0.0002706081,0.01020301,0.000134932,0.0001067904,0.0001914278,0.01760518,0.00003006556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9345201,0.001839928,0.0007343561,0.001417748,0.0002275802,0.0006991229,0.04953653,0.00005421667,0.01097048],"genre_scores_gemma":[0.9074858,0.002289632,0.00143843,0.00183397,0.0001986392,0.003511116,0.06167022,0.00007623764,0.02149604],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09188218,"threshold_uncertainty_score":0.1826947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640675429157322,"score_gpt":0.3130744092512395,"score_spread":0.2666676549596663,"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."}}