{"id":"W6960623199","doi":"10.1371/journal.pone.0308699.g001","title":"PRISMA flow diagram.","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Observational study; Population; Pandemic; Systematic review; Food insecurity; Grey literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.04508214,0.003518752,0.009171139,0.01800483,0.002822333,0.01051143,0.005835968,0.004575147,0.6307737],"category_scores_gemma":[0.1466204,0.004369056,0.01028441,0.0152131,0.002454471,0.004837743,0.005090239,0.00775148,0.07477192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008293025,"about_ca_system_score_gemma":0.04886916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374229,"about_ca_topic_score_gemma":0.01506393,"domain_scores_codex":[0.9718649,0.01161633,0.008557962,0.003879382,0.003026527,0.00105488],"domain_scores_gemma":[0.8901699,0.06584918,0.009477146,0.009305574,0.02250624,0.002691866],"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":[0.002739673,0.0002884415,0.0007166698,0.3623267,0.001435604,0.0001802489,0.0009627743,0.00201411,0.0004172917,0.01661571,0.5573573,0.05494571],"study_design_scores_gemma":[0.01385827,0.0004508639,0.002699148,0.1360032,0.001664058,0.0002682569,0.001545914,0.002737391,0.0005922347,0.04100936,0.7987297,0.0004415741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001039293,0.003971844,0.01520661,0.01009015,0.0063192,0.2283261,0.711274,0.005881471,0.01789135],"genre_scores_gemma":[0.002687678,0.002555156,0.07534342,0.003316899,0.0003430859,0.863822,0.03802683,0.001050601,0.0128544],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6307737,"threshold_uncertainty_score":0.5266564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523370678279538,"score_gpt":0.1951486065542653,"score_spread":0.17991489977147,"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."}}