{"id":"W4394877258","doi":"10.1186/s12960-024-00895-z","title":"Methods for health workforce projection model: systematic review and recommended good practice reporting guideline","year":2024,"lang":"en","type":"review","venue":"Human Resources for Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health services research; Guideline; Health administration; Medicine; Workforce; Public health; Systematic review; Health informatics; MEDLINE; Nursing; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3798751,0.00794322,0.01923208,0.02524337,0.003640901,0.01292858,0.0175248,0.01232849,0.02915769],"category_scores_gemma":[0.6633851,0.006633835,0.03987084,0.02562164,0.006309666,0.01516836,0.01085864,0.01174101,0.008313812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01614627,"about_ca_system_score_gemma":0.07897099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724018,"about_ca_topic_score_gemma":0.0199653,"domain_scores_codex":[0.5261133,0.2508112,0.1718603,0.01254867,0.03627169,0.002394893],"domain_scores_gemma":[0.3894497,0.3910311,0.07286494,0.03916089,0.104401,0.003092292],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004298832,0.0001240651,0.001576046,0.7290296,0.01200273,0.0002377305,0.001724871,0.002576052,0.0002462982,0.01087974,0.08064564,0.1605274],"study_design_scores_gemma":[0.001989007,0.0002262634,0.001919859,0.8447182,0.01797108,0.0002527626,0.0009249934,0.003063156,0.0008758905,0.02777365,0.09990317,0.0003819318],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"review","genre_scores_codex":[0.001388717,0.1422844,0.2356763,0.03446629,0.006535402,0.5046381,0.05921163,0.003339237,0.0124599],"genre_scores_gemma":[0.00817447,0.04173412,0.4245269,0.005287691,0.0005469038,0.5105248,0.007725366,0.0004048487,0.00107482],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6201249,"threshold_uncertainty_score":0.7647245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3325112125193515,"score_gpt":0.660396885021213,"score_spread":0.3278856725018615,"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."}}