{"id":"W6968288730","doi":"10.5281/zenodo.16875612","title":"Open-LBP-RF: A Clinical Note Dataset annotated with Lower Back Pain Risk Factors","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Dalhousie University","funders":"","keywords":"Annotation; Triage; Back pain; JSON; Risk factor; MEDLINE","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":[],"consensus_categories":[],"category_scores_codex":[0.002333618,0.001172917,0.00060804,0.001942451,0.0009280956,0.001036556,0.001777583,0.002661406,0.009705772],"category_scores_gemma":[0.0189822,0.0003032916,0.0009009955,0.001430716,0.0006230162,0.0009960314,0.002033922,0.002038488,0.00685552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552681,"about_ca_system_score_gemma":0.002289014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551689,"about_ca_topic_score_gemma":0.03788134,"domain_scores_codex":[0.9977725,0.000608388,0.0003014661,0.0007700468,0.0004057481,0.000141822],"domain_scores_gemma":[0.9899436,0.00590064,0.0007524298,0.001462286,0.00148921,0.000451866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001551505,0.000300347,0.03410797,0.003555103,0.0001504585,0.00183143,0.001041082,0.004083548,0.01107586,0.003188424,0.7995551,0.1395591],"study_design_scores_gemma":[0.0008557528,0.0006166685,0.09441063,0.002191626,0.0003394073,0.004128607,0.00241397,0.03533071,0.01821138,0.01442614,0.8267144,0.0003607993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08139834,0.005971234,0.04588965,0.007495029,0.001466069,0.001027751,0.8221234,0.01937145,0.01525705],"genre_scores_gemma":[0.1194149,0.001027959,0.07420542,0.002607762,0.0002954239,0.001304693,0.793842,0.0008947212,0.006407234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01551689,"threshold_uncertainty_score":0.03246909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05275941971927748,"score_gpt":0.3375651370824836,"score_spread":0.2848057173632061,"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."}}