{"id":"W4378192374","doi":"10.3758/s13415-023-01110-7","title":"Parsing patterns of reward responsiveness: Initial evidence from latent profile analysis","year":2023,"lang":"en","type":"article","venue":"Cognitive Affective & Behavioral Neuroscience","topic":"Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canada Research Chairs","keywords":"Anticipation (artificial intelligence); Psychology; Psychopathology; Reward dependence; Anhedonia; Reward system; Developmental psychology; Cognitive psychology; Neuroscience; Clinical psychology; Social psychology; Pleasure; Novelty seeking","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007250466,0.0005245276,0.0007507002,0.001821254,0.000396672,0.0001139318,0.0006433268,0.0002019093,0.0005785998],"category_scores_gemma":[0.002513873,0.0005014566,0.0004143512,0.008714591,0.0007676348,0.0007783456,0.0004183952,0.0004411671,0.0003101433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151439,"about_ca_system_score_gemma":0.0001403267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431775,"about_ca_topic_score_gemma":0.00009444119,"domain_scores_codex":[0.9943319,0.001268016,0.0005848327,0.001979956,0.0009623093,0.0008730058],"domain_scores_gemma":[0.9948207,0.002529123,0.0005811416,0.0005940038,0.001196201,0.0002788843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008194324,0.0008799409,0.8913956,0.00001835369,0.000126575,0.0002950598,0.003091251,0.000009980591,0.02094792,0.000008362698,0.000096925,0.08231059],"study_design_scores_gemma":[0.0009473525,0.001166044,0.9544166,0.0004009964,0.001277324,0.000007958515,0.00229506,0.00008071284,0.03875263,0.0001127567,0.00007192359,0.0004706144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856938,0.0005310081,0.008587421,0.00005164848,0.001965213,0.001119883,0.001544107,0.0002777054,0.0002292698],"genre_scores_gemma":[0.9976045,0.0009333146,0.00006412582,0.0001565621,0.0001474346,0.0005373734,0.0001448235,0.00006139086,0.0003504014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08183998,"threshold_uncertainty_score":0.9997437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630097026043833,"score_gpt":0.4474308997718371,"score_spread":0.2844211971674538,"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."}}