{"id":"W6920749244","doi":"10.6084/m9.figshare.12109380.v1","title":"Additional file 1 of Using a rapid environmental scan methodology to map country-level global health research expertise in Canada","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Global Health and Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University; York University","funders":"","keywords":"Workflow; Diagram; Key (lock); Confidentiality; Health data; Global health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001891364,0.0008314581,0.0009019081,0.004366671,0.001790809,0.002784883,0.001656738,0.0006706077,0.8119175],"category_scores_gemma":[0.02922197,0.0005643984,0.0009916471,0.008358818,0.000427121,0.001497518,0.001483485,0.0008230437,0.1231503],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005485858,"about_ca_system_score_gemma":0.01449922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4477006,"about_ca_topic_score_gemma":0.6035467,"domain_scores_codex":[0.9989907,0.0001389734,0.0001287435,0.0002030712,0.000338223,0.0002002623],"domain_scores_gemma":[0.9733073,0.01506335,0.0008844433,0.001548638,0.008237206,0.0009591042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001068807,0.00002452264,0.002070474,0.001181673,0.00002145809,0.0000347473,0.0001432422,0.0003799701,0.00005756272,0.0007432518,0.9865226,0.008713572],"study_design_scores_gemma":[0.001012096,0.00004273927,0.02985225,0.002144706,0.0001025895,0.0001343076,0.00115632,0.001360883,0.0007737175,0.004447525,0.9588427,0.0001302253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001946344,0.00001264116,0.0003883005,0.00008499543,0.00001978172,0.0001377322,0.9950848,0.0006069425,0.003470142],"genre_scores_gemma":[0.01348002,0.0002097581,0.0147326,0.0004716353,0.00005751572,0.002504614,0.9394456,0.002980935,0.02611734],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9956333,"threshold_uncertainty_score":0.8901895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4210427532003959,"score_gpt":0.4231570964586225,"score_spread":0.00211434325822657,"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."}}