{"id":"W3205790946","doi":"10.2196/31724","title":"In Search of State and Trait Emotion Markers in Mobile-Sensed Language: Field Study","year":2021,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"KU Leuven; European Commission","keywords":"Trait; Psychology; Experience sampling method; Happiness; Valence (chemistry); Mood; Set (abstract data type); Cognitive psychology; Computer science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003505375,0.0000539859,0.0001304377,0.00011245,0.00001865385,0.000004128199,0.00002139834,0.00003486096,0.000855223],"category_scores_gemma":[0.000003757106,0.00005675133,0.00001554611,0.0001677335,0.00001325291,0.00003584116,0.00001613145,0.000140546,0.00001247495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005656945,"about_ca_system_score_gemma":0.00003889401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251995,"about_ca_topic_score_gemma":0.003235687,"domain_scores_codex":[0.9989799,0.0003710055,0.0002295332,0.0001697296,0.00009383025,0.0001560189],"domain_scores_gemma":[0.9997808,0.0000371691,0.00003887669,0.00008152443,0.00001186504,0.00004977236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009249041,0.005373232,0.08882681,0.0004012529,0.00003460574,0.0002186978,0.2798613,0.000003145258,0.002481371,0.00005912576,0.003130837,0.6186847],"study_design_scores_gemma":[0.004296509,0.001388655,0.8498369,0.00009124619,0.000001343638,0.00002418992,0.143312,0.00002527458,0.000782476,0.00003427128,0.0001294963,0.00007764471],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966115,0.0001646326,0.000004069046,0.0007564821,0.000161513,0.0007751439,0.00002253909,0.000006119541,0.001497956],"genre_scores_gemma":[0.9977278,0.00004662258,0.00003473109,0.0005443761,0.00001122694,0.00004250123,0.00002860759,0.000006152881,0.001557947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7610101,"threshold_uncertainty_score":0.9364092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753499368811125,"score_gpt":0.4058273722336037,"score_spread":0.3782923785454924,"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."}}