{"id":"W6886236175","doi":"10.15139/s3/dacp9y","title":"Dyadic Gratitude and Partner Regulation Weekly Diary, 2021","year":2022,"lang":"en","type":"dataset","venue":"UNC Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gratitude; Phone; Sample (material); Self-disclosure; Interpersonal relationship; Computer-assisted web interviewing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001016721,0.0006016641,0.0005651229,0.0005345924,0.0003752852,0.0002031324,0.0008097493,0.0003035021,0.3899252],"category_scores_gemma":[0.0004177541,0.0006342093,0.0001038718,0.0005494001,0.0002623004,0.0006391397,0.001404468,0.00082504,0.0322571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003427141,"about_ca_system_score_gemma":0.0002402164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103253,"about_ca_topic_score_gemma":0.004041631,"domain_scores_codex":[0.9962384,0.0005381393,0.000517781,0.001146009,0.00102594,0.0005337939],"domain_scores_gemma":[0.9964591,0.0001820985,0.000465145,0.002556456,0.00006655473,0.0002706097],"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":[0.00007601974,0.0001409563,0.00003964859,0.00008893668,0.0001464417,0.0002165934,0.00003142464,0.00002966591,0.00004800045,0.0001928608,0.9987113,0.0002781361],"study_design_scores_gemma":[0.000782549,0.00007249147,0.0003632813,0.00004805996,0.0004713816,0.00004443444,0.00007898813,0.00009653503,0.000005641843,0.0001754173,0.997186,0.0006752428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003304024,0.00007901525,0.000009690303,0.00004240432,0.0007699968,0.0005842767,0.9981895,0.00008192393,0.0002101532],"genre_scores_gemma":[0.00001299201,0.0003516704,0.0001369851,0.0001745411,0.0003832905,0.000104981,0.9967634,0.0001171412,0.00195497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3576681,"threshold_uncertainty_score":0.9996109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795651891778458,"score_gpt":0.263838138625106,"score_spread":0.2458816197073214,"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."}}