{"id":"W4200081378","doi":"10.2196/30439","title":"Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review","year":2021,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Cancer survivorship and care","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Context (archaeology); Depression (economics); Psychology; Facial expression; Thematic analysis; Inclusion (mineral); Clinical psychology; Computer science; Artificial intelligence; Qualitative research; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01218501,0.001976363,0.007794272,0.01017797,0.0008812424,0.004973901,0.002204125,0.002513607,0.005421053],"category_scores_gemma":[0.06694914,0.001075569,0.01372931,0.009695155,0.001014735,0.002653988,0.001990172,0.00164405,0.0004928299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004138743,"about_ca_system_score_gemma":0.009663993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008526761,"about_ca_topic_score_gemma":0.01871406,"domain_scores_codex":[0.99293,0.002491171,0.00268264,0.0005393677,0.001139159,0.0002177014],"domain_scores_gemma":[0.9548117,0.03683406,0.004909959,0.0007092644,0.002479848,0.000255174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002784632,0.00002900591,0.001282775,0.9217595,0.02830401,0.00006708226,0.0002911381,0.0001385194,0.0001101939,0.0002605682,0.0009503958,0.04652824],"study_design_scores_gemma":[0.0001627485,0.0002602453,0.004589442,0.7827854,0.1989318,0.0002162044,0.0003510824,0.0001320221,0.0002319272,0.0005204441,0.01177652,0.00004211372],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001223307,0.9968517,0.000294212,0.0002552714,0.0001048177,0.0004357051,0.0003197216,0.00001145454,0.0005036157],"genre_scores_gemma":[0.02000432,0.9767563,0.001042239,0.0005204894,0.00009744357,0.001046785,0.0003683263,0.000009293853,0.0001547648],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01218501,"threshold_uncertainty_score":0.06444126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05699526357426796,"score_gpt":0.4150218100263782,"score_spread":0.3580265464521103,"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."}}