{"id":"W4247950613","doi":"10.1111/dmcn.38_13511","title":"Novel method to measure spatial vision in brain‐injured children","year":2017,"lang":"en","type":"article","venue":"Developmental Medicine & Child Neurology","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Measure (data warehouse); Psychology; Artificial intelligence; Computer science; Neuroscience; Computer vision; Physical medicine and rehabilitation; Medicine; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.002174765,0.001025017,0.0005895506,0.003389165,0.0004776929,0.001073108,0.0009813374,0.0008040277,0.01259435],"category_scores_gemma":[0.006566103,0.0004813736,0.001011317,0.001651673,0.000402819,0.001437829,0.002154614,0.001056171,0.002794067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008324783,"about_ca_system_score_gemma":0.001617997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00320566,"about_ca_topic_score_gemma":0.009299384,"domain_scores_codex":[0.9971257,0.000736247,0.0003791527,0.0006526689,0.0009653791,0.0001407933],"domain_scores_gemma":[0.9961927,0.000738129,0.0009012832,0.0003837413,0.001555591,0.0002286049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001247268,0.001334793,0.3296298,0.001741264,0.0003040298,0.0005762483,0.001743134,0.001199181,0.02465544,0.002859008,0.01801614,0.6166936],"study_design_scores_gemma":[0.0004269303,0.003018869,0.8928595,0.0009329147,0.000370245,0.007709411,0.002532064,0.01585145,0.02752185,0.004175746,0.04424243,0.0003586914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6600523,0.002744478,0.2493946,0.001158211,0.0008737472,0.01137797,0.02136721,0.004525177,0.04850637],"genre_scores_gemma":[0.5953063,0.001716956,0.3659207,0.0006560817,0.0001388528,0.0145175,0.005248571,0.0004356602,0.01605932],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01259435,"threshold_uncertainty_score":0.04213226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546035791089405,"score_gpt":0.3166307213737355,"score_spread":0.2911703634628415,"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."}}