{"id":"W6960626840","doi":"10.1371/journal.pone.0308699.t001","title":"Inclusion and exclusion criteria for the review.","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Observational study; Population; Pandemic; Inclusion (mineral); Grey literature; Systematic review; Food insecurity","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":[0.02318123,0.004901845,0.02170465,0.01907797,0.003549327,0.007024087,0.006214721,0.01036483,0.1103026],"category_scores_gemma":[0.09708354,0.002480428,0.009355329,0.01405386,0.002750006,0.009064117,0.005121933,0.005184202,0.01581933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01376077,"about_ca_system_score_gemma":0.04102621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007864401,"about_ca_topic_score_gemma":0.01238224,"domain_scores_codex":[0.9779993,0.005133288,0.01022814,0.002213677,0.00320041,0.001225152],"domain_scores_gemma":[0.9543193,0.01619609,0.01070066,0.003173587,0.01365671,0.001953789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002302202,0.0001442204,0.000586961,0.7653989,0.001379693,0.001389162,0.001731519,0.0001871141,0.0006934134,0.006618928,0.1853878,0.03418005],"study_design_scores_gemma":[0.003926387,0.0003199603,0.002491758,0.6778883,0.002878462,0.0006936568,0.001209585,0.0002694791,0.0004838307,0.005756073,0.3038703,0.0002122282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"dataset","genre_scores_codex":[0.001984539,0.07112724,0.004186082,0.01227094,0.01446318,0.7858036,0.09444716,0.0004786917,0.01523861],"genre_scores_gemma":[0.005422232,0.0211998,0.005670476,0.008096018,0.001839714,0.9387973,0.01164438,0.0001711074,0.007159033],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8896974,"threshold_uncertainty_score":0.3689988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326211197746874,"score_gpt":0.4253213996698251,"score_spread":0.3720592876923564,"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."}}