{"id":"W3119481802","doi":"10.1093/abm/kaaa095","title":"Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application","year":2020,"lang":"en","type":"review","venue":"Annals of Behavioral Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wellcome Trust","keywords":"Psychological intervention; Artificial intelligence; Intervention (counseling); Computer science; Data science; Behavioural sciences; Process (computing); Machine learning; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001291399,0.0004312193,0.001687636,0.0003473436,0.0003213026,0.00002593811,0.0004508405,0.0002417616,0.0000263971],"category_scores_gemma":[0.0002537803,0.0002808847,0.0002493486,0.001120825,0.001709884,0.0001901496,0.0001050587,0.0005428843,0.00001260101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055329,"about_ca_system_score_gemma":0.0008021416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581285,"about_ca_topic_score_gemma":0.0004443144,"domain_scores_codex":[0.9962967,0.00008658295,0.001645428,0.0007925762,0.0006693468,0.0005093394],"domain_scores_gemma":[0.9969278,0.000473787,0.0008480949,0.0006777086,0.0007891909,0.0002834377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004811382,0.0001856433,0.00002061739,0.003846512,0.00001776391,0.000003989351,0.003096064,1.503008e-7,0.00002068827,0.005360793,0.0001702774,0.9872294],"study_design_scores_gemma":[0.00003549645,0.003571261,0.00005254305,0.01586477,0.002757139,0.00006451945,0.008316439,0.00007110403,0.001513911,0.007145295,0.9601065,0.0005010288],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005292881,0.9804345,0.0007459635,0.01406718,0.0006230981,0.003291649,0.0000298938,0.00005879371,0.0002196083],"genre_scores_gemma":[0.02032011,0.9767644,0.0004406614,0.0002882643,0.001431729,0.0005634017,0.00009787621,0.00005470043,0.00003882659],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9867284,"threshold_uncertainty_score":0.9999644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7180277906501255,"score_gpt":0.6019081494289648,"score_spread":0.1161196412211607,"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."}}