{"id":"W3094504504","doi":"10.1080/22423982.2020.1832390","title":"Preliminary clinical algorithm to optimise remote delivery of paediatric concussion care in Canada’s North","year":2020,"lang":"en","type":"article","venue":"International Journal of Circumpolar Health","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Pan Am Clinic; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"Department of Surgery, University of Manitoba","keywords":"Concussion; Medical emergency; Medicine; Injury prevention; Algorithm; Poison control; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007506032,0.0001190004,0.0005609631,0.0003247162,0.00002273566,0.000009297604,0.0004171528,0.00006178958,0.00006141518],"category_scores_gemma":[0.001056349,0.0001039839,0.0001487357,0.0002830097,0.00003367394,0.00009865187,0.00009418827,0.0007390977,0.000005898122],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202596,"about_ca_system_score_gemma":0.01552622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09878428,"about_ca_topic_score_gemma":0.04686246,"domain_scores_codex":[0.9963027,0.0002646185,0.001563642,0.0001890123,0.001429064,0.0002510264],"domain_scores_gemma":[0.9970691,0.0003480824,0.0005728391,0.0001448839,0.001007599,0.0008574524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002813558,0.0001529806,0.2420118,0.0002861345,0.0001422941,0.001046043,0.002799081,0.0003545377,0.00004893468,0.000006254832,0.008414437,0.741924],"study_design_scores_gemma":[0.005069411,0.004643993,0.9755586,0.0008196817,0.00003661828,0.0004368653,0.002025326,0.004665582,0.0001131026,0.00001429144,0.006463608,0.0001529694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563096,0.002494431,0.002241137,0.03752851,0.0007826839,0.0004315666,0.0001235651,0.000006697865,0.00008186328],"genre_scores_gemma":[0.9801522,0.0007332831,0.01197407,0.006408026,0.0006872621,7.171579e-7,0.0000201109,0.00001867377,0.00000560061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.741771,"threshold_uncertainty_score":0.9900548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06662761924737609,"score_gpt":0.3846434410184544,"score_spread":0.3180158217710783,"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."}}