{"id":"W6902157199","doi":"10.6084/m9.figshare.26618119","title":"Additional file 3 of Resilience of primary healthcare system across low- and middle-income countries during COVID-19 pandemic: a scoping review","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Resilience (materials science); Healthcare system; Primary care; Health care; Primary health care; Vulnerability (computing); Variety (cybernetics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004548683,0.0009620493,0.001509786,0.005760282,0.0008086317,0.002139888,0.002005852,0.001883271,0.8545364],"category_scores_gemma":[0.07786307,0.0006018818,0.001941801,0.009206359,0.000303102,0.003436752,0.001773408,0.0009908779,0.07494486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002789961,"about_ca_system_score_gemma":0.005674286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467661,"about_ca_topic_score_gemma":0.0188378,"domain_scores_codex":[0.997328,0.0005189143,0.0009472414,0.0003394181,0.0006009347,0.0002654402],"domain_scores_gemma":[0.9249055,0.05548025,0.00606829,0.001458991,0.0112473,0.0008395806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003021551,0.00003442796,0.001397152,0.0371553,0.0001177948,0.00005872546,0.0001133395,0.0002256667,0.00003546071,0.00104653,0.9489835,0.01052996],"study_design_scores_gemma":[0.004380064,0.0001830737,0.02721415,0.07486122,0.0007905478,0.0003530805,0.0009586237,0.0007149474,0.0003042262,0.006920938,0.8831754,0.0001438727],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.0001251209,0.0001566368,0.00009989538,0.0004934286,0.00006412937,0.0002909364,0.9969202,0.0001082652,0.001741338],"genre_scores_gemma":[0.01429352,0.002355694,0.004805792,0.003819498,0.000498928,0.01639534,0.9229978,0.0006579149,0.03417561],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8545364,"threshold_uncertainty_score":0.2074861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09805197699830735,"score_gpt":0.398205591287448,"score_spread":0.3001536142891406,"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."}}