{"id":"W4411704355","doi":"10.21203/rs.3.rs-6932501/v1","title":"Large natural emotion vocabularies are linked with better mental health in psychotherapeutic conversations","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Alliance for Research on Schizophrenia and Depression; National Science Foundation","keywords":"Natural (archaeology); Mental health; Psychology; Psychotherapist; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002050951,0.0003838264,0.0002433514,0.0007485596,0.0006553421,0.002652906,0.0004191468,0.0008791735,0.01847215],"category_scores_gemma":[0.03438487,0.0002102843,0.000416481,0.0009064125,0.0006992032,0.003741723,0.002000257,0.001829761,0.002140891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006438955,"about_ca_system_score_gemma":0.000523372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002203956,"about_ca_topic_score_gemma":0.001699553,"domain_scores_codex":[0.998571,0.0006358768,0.000155197,0.0003046258,0.0002262791,0.0001069247],"domain_scores_gemma":[0.972764,0.01955743,0.004010805,0.001385598,0.001635218,0.0006470275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009361181,0.001173499,0.3555087,0.007183986,0.001133362,0.001586612,0.04581075,0.002935923,0.153776,0.1046131,0.06231324,0.2546035],"study_design_scores_gemma":[0.0007843123,0.0006512455,0.7096246,0.001771662,0.0008930941,0.002799148,0.02628342,0.01294236,0.01660176,0.1133869,0.113884,0.0003774652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184533,0.00420046,0.0178875,0.004400464,0.0005089729,0.0002026909,0.02004294,0.0006863343,0.0336172],"genre_scores_gemma":[0.9780146,0.0005875035,0.007615197,0.0008068511,0.0001503483,0.0001729562,0.009812142,0.0004896031,0.002350751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01847215,"threshold_uncertainty_score":0.06179553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085151839089061,"score_gpt":0.503811577625777,"score_spread":0.3952963937168709,"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."}}