{"id":"W4206072351","doi":"10.2196/preprints.20311","title":"An environmental scan of Canadian Internet resources and Apps about pediatric concussion. (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Concussion; The Internet; Inclusion (mineral); Resource (disambiguation); Internet privacy; Medicine; Medical education; World Wide Web; Psychology; Poison control; Computer science; Injury prevention; Medical emergency","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":[],"consensus_categories":[],"category_scores_codex":[0.001571423,0.0005601256,0.0004352261,0.01636392,0.004121486,0.002256651,0.0008104769,0.0008404736,0.04098467],"category_scores_gemma":[0.0132852,0.0003469429,0.0004390297,0.030148,0.0006993808,0.001873413,0.001953305,0.000570126,0.006339501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009885907,"about_ca_system_score_gemma":0.03024825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7871644,"about_ca_topic_score_gemma":0.9050403,"domain_scores_codex":[0.9980824,0.0001888416,0.0002521809,0.0001254766,0.001092213,0.0002587567],"domain_scores_gemma":[0.9763613,0.008753673,0.002166044,0.0004027799,0.01097271,0.001343549],"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":[0.0003577022,0.0000704553,0.02307801,0.01629667,0.00005658203,0.001661833,0.01332152,0.0001453354,0.001867531,0.002492531,0.7469343,0.1937175],"study_design_scores_gemma":[0.00001440844,0.00003868129,0.08273741,0.004694536,0.00005655486,0.0002983484,0.008036742,0.00007428802,0.0004654817,0.0001446987,0.9033833,0.00005563703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06629858,0.01574373,0.001119882,0.01252333,0.0008051118,0.001463145,0.6946754,0.001558797,0.2058121],"genre_scores_gemma":[0.3118575,0.05031612,0.02244276,0.02402902,0.0009170431,0.00320388,0.4313349,0.001588523,0.1543103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2128356,"threshold_uncertainty_score":0.4281781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548170255855599,"score_gpt":0.2978821957502714,"score_spread":0.2524004931917154,"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."}}