{"id":"W6939623219","doi":"10.6084/m9.figshare.19502445.v1","title":"Additional file 3 of Methodology and experiences of rapid advice guideline development for children with COVID-19: responding to the COVID-19 outbreak quickly and efficiently","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Advice (programming); Guideline; Outbreak; MEDLINE; Data collection","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007315465,0.0007938675,0.0009215465,0.002094128,0.001535014,0.002891185,0.001789353,0.001493264,0.8898222],"category_scores_gemma":[0.1187636,0.0007024997,0.001340818,0.002872848,0.0004471247,0.002201117,0.001579259,0.001482861,0.1825601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602106,"about_ca_system_score_gemma":0.00576708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414973,"about_ca_topic_score_gemma":0.02644319,"domain_scores_codex":[0.9972271,0.001134865,0.0004851762,0.0003057133,0.0005932305,0.0002539277],"domain_scores_gemma":[0.8852943,0.09202924,0.003255968,0.003917411,0.0136502,0.001852981],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004137021,0.00007448396,0.0009670112,0.002150722,0.00002073476,0.00003130034,0.0002542433,0.0001909271,0.00003006518,0.000664006,0.9818242,0.01337854],"study_design_scores_gemma":[0.007135638,0.0003525515,0.01456484,0.009209599,0.0002068272,0.0002446855,0.002368009,0.001293999,0.0008506037,0.01400602,0.9496047,0.000162495],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008107024,0.00006311045,0.001894256,0.001499564,0.0002183737,0.00247706,0.9782555,0.001479238,0.0133022],"genre_scores_gemma":[0.05093238,0.0007529286,0.06141137,0.008129168,0.0006390245,0.08843745,0.6488922,0.008342168,0.1324632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9926845,"threshold_uncertainty_score":0.1571553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08250923467430295,"score_gpt":0.334639292468772,"score_spread":0.2521300577944691,"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."}}