{"id":"W4319333575","doi":"10.1111/infa.12521","title":"Attrition rate in infant fNIRS research: A meta‐analysis","year":2023,"lang":"en","type":"review","venue":"Infancy","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation; Bill and Melinda Gates Foundation; National Science Foundation","keywords":"Attrition; Generalizability theory; Psychology; Functional near-infrared spectroscopy; Meta-analysis; Developmental psychology; Cognition; Cognitive psychology; Medicine; Neuroscience","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":[0.002967348,0.0003468254,0.004062823,0.00287753,0.00005699671,0.00006634655,0.0002203391,0.0003874094,0.0002231909],"category_scores_gemma":[0.0007857544,0.0002519532,0.002040421,0.005657723,0.0001417731,0.00007147408,0.0001229467,0.001713215,0.0004092033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388148,"about_ca_system_score_gemma":0.0003039608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017872,"about_ca_topic_score_gemma":0.00009506952,"domain_scores_codex":[0.9967696,0.0006033105,0.0008601857,0.0006302085,0.0005554927,0.0005811857],"domain_scores_gemma":[0.9979923,0.0007109072,0.0001389217,0.0008447631,0.0001442158,0.0001689219],"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":[0.0001009017,0.001142375,0.0003466648,0.1097215,0.4087449,0.004939814,0.0003953152,0.00000142887,0.00002092376,0.00945116,0.01709181,0.4480432],"study_design_scores_gemma":[0.0001453716,0.0001093541,0.00006595108,0.005529487,0.1727739,0.00001485012,0.000007613813,0.00002160518,0.00001071302,0.0009259043,0.8201157,0.0002794948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004144492,0.9916105,0.00005822527,0.0004544608,0.00004031703,0.001104165,0.00005302798,0.0003643112,0.006310842],"genre_scores_gemma":[0.00002391071,0.995213,0.00119772,0.0000768446,0.0001096145,0.0008384421,0.0001785488,0.00006324593,0.002298728],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8030239,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5539385245562479,"score_gpt":0.5735191807959603,"score_spread":0.01958065623971239,"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."}}