{"id":"W4392695717","doi":"10.1186/s13104-024-06731-w","title":"Correction: Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model","year":2024,"lang":"en","type":"erratum","venue":"BMC Research Notes","topic":"Socioeconomic and Demographic Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Protocol (science); Mental health; Computer science; Medicine; Data science; Alternative medicine; Psychiatry; Pathology","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":[0.01189042,0.001751725,0.001628346,0.003021876,0.002805129,0.002088963,0.003398726,0.003381796,0.1449973],"category_scores_gemma":[0.2265038,0.001191803,0.001395998,0.002184764,0.001646684,0.002177793,0.002534203,0.006563273,0.03783813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003286102,"about_ca_system_score_gemma":0.01020903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04553058,"about_ca_topic_score_gemma":0.06013669,"domain_scores_codex":[0.9918934,0.00239697,0.002424354,0.0007395399,0.002053917,0.0004918378],"domain_scores_gemma":[0.9051173,0.0354724,0.004758183,0.008087145,0.04460789,0.001957095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001328404,0.00001214351,0.0003842808,0.0005389546,0.00002943477,0.0001399376,0.0002175715,0.00007567905,0.00005005988,0.0007866933,0.989216,0.008416304],"study_design_scores_gemma":[0.0005656175,0.00008759055,0.007979699,0.003266947,0.0002082325,0.0004266444,0.0008138754,0.0007094913,0.0007563516,0.003000894,0.9820499,0.0001347053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"protocol","genre_scores_codex":[0.002496939,0.0009143957,0.01144742,0.08612172,0.7656559,0.003092343,0.1122008,0.002461921,0.0156086],"genre_scores_gemma":[0.08840035,0.005644573,0.08821993,0.09758401,0.07491357,0.03149065,0.0638928,0.008794012,0.5410601],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.1449973,"threshold_uncertainty_score":0.4850644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1488183570903161,"score_gpt":0.467803552656164,"score_spread":0.3189851955658479,"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."}}