{"id":"W4247659451","doi":"10.31234/osf.io/syhw5","title":"Personalized Behavior Prediction: An Idiographic Person-Situation Test","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mental Health Research Topics","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Clair College","funders":"Society for Personality and Social Psychology; National Science Foundation","keywords":"Nomothetic and idiographic; Loneliness; Psychology; Situational ethics; Procrastination; Test (biology); Cognitive psychology; Perspective (graphical); Personality; Matching (statistics); Social psychology; Artificial intelligence; Computer science","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":[0.007416285,0.0003562765,0.0004918219,0.0006442226,0.0004766508,0.0008614164,0.0005350472,0.0008292194,0.002538245],"category_scores_gemma":[0.03137517,0.0001918657,0.0004656221,0.0003923041,0.000551386,0.001317514,0.001382711,0.001011178,0.0006578157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805318,"about_ca_system_score_gemma":0.0002412126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007420697,"about_ca_topic_score_gemma":0.0007449726,"domain_scores_codex":[0.9972085,0.00164828,0.0001821808,0.0005417265,0.0003086002,0.0001105877],"domain_scores_gemma":[0.9537674,0.0361504,0.002728693,0.005437867,0.001075651,0.0008400462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003664102,0.002739019,0.9215124,0.0001274765,0.0004746457,0.0001590386,0.003150898,0.004615407,0.002322862,0.001172302,0.001103602,0.05895831],"study_design_scores_gemma":[0.0003717823,0.005232189,0.896534,0.00003675657,0.0001767645,0.0004743093,0.001946627,0.08589543,0.00332249,0.003332797,0.002601455,0.00007539154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944924,0.00002625229,0.003613806,0.00005664317,0.00001430621,0.00009884502,0.0003752122,0.00004803605,0.001274412],"genre_scores_gemma":[0.9964005,0.00001337954,0.002562682,0.00003749111,0.000009679447,0.0001903308,0.0005115146,0.000008436711,0.0002661198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007416285,"threshold_uncertainty_score":0.03922153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1683447359097425,"score_gpt":0.4426797571350387,"score_spread":0.2743350212252962,"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."}}