{"id":"W2995302571","doi":"10.5121/csit.2019.91313","title":"An Artificial Neural Network Approach for the Classification of Human Lower Back Pain","year":2019,"lang":"en","type":"article","venue":"","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial neural network; Artificial intelligence; Backpropagation; Back pain; Machine learning; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002920829,0.0003596879,0.0003161257,0.0003677846,0.000171777,0.0004762146,0.0005130466,0.0008119131,0.001075635],"category_scores_gemma":[0.0006504234,0.0001245947,0.0002962527,0.0003670756,0.0001495019,0.0003729633,0.0002247898,0.0005177273,0.00030369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003394267,"about_ca_system_score_gemma":0.0003506906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005000553,"about_ca_topic_score_gemma":0.00398645,"domain_scores_codex":[0.9999005,0.00002172631,0.000006453006,0.00002497992,0.000031793,0.00001461257],"domain_scores_gemma":[0.9998863,0.00004209828,0.00001206646,0.000005792835,0.00004855372,0.000005210929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002587587,0.0002091391,0.002865432,0.000145081,0.00008202729,0.0002065218,0.00007805542,0.5004531,0.01882019,0.002690058,0.00265861,0.471533],"study_design_scores_gemma":[0.000001920012,0.00003442979,0.0006874485,0.000007798378,0.000006519295,0.00002274613,0.000007867431,0.9976283,0.0009195113,0.0003745096,0.0003048849,0.000004099678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1473466,0.004187174,0.8395864,0.0008292589,0.0003568792,0.0001348216,0.0002425328,0.0008134069,0.006502922],"genre_scores_gemma":[0.8829924,0.001402476,0.1070644,0.0002220084,0.0001205895,0.0001461089,0.000275012,0.00002465797,0.007752375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005000553,"threshold_uncertainty_score":0.009942889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03261388139678945,"score_gpt":0.2583151351830555,"score_spread":0.2257012537862661,"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."}}