{"id":"W4402880040","doi":"10.3399/bjgp24x739533","title":"Regression to ‘barefoot’","year":2024,"lang":"en","type":"article","venue":"British Journal of General Practice","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Barefoot; Data science; Computer science; Physical therapy","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":[0.001582877,0.0005540337,0.0009218907,0.001039852,0.0004938586,0.001024894,0.0008639593,0.000739431,0.04047777],"category_scores_gemma":[0.01793163,0.0002574364,0.001361511,0.0009291109,0.0007242258,0.0008515214,0.001113956,0.003140439,0.0050559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006957707,"about_ca_system_score_gemma":0.0009755712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403785,"about_ca_topic_score_gemma":0.006638361,"domain_scores_codex":[0.9977705,0.0006609843,0.0000857717,0.000787344,0.0002586992,0.0004366427],"domain_scores_gemma":[0.9944771,0.002459877,0.0008616455,0.0008552018,0.0008695752,0.0004765988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003938224,0.001361384,0.4620416,0.0006776935,0.00156845,0.003213086,0.0008297504,0.009810089,0.006761319,0.01394643,0.04809212,0.4477598],"study_design_scores_gemma":[0.0001960735,0.002148799,0.8659042,0.0003290576,0.0006264218,0.008375219,0.0009676399,0.03316369,0.003017911,0.03281462,0.05236476,0.00009162531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810065,0.003087457,0.03712311,0.005691509,0.001331674,0.0001867721,0.007028344,0.001366094,0.06317859],"genre_scores_gemma":[0.9747733,0.0003323831,0.001874746,0.000733832,0.0001888361,0.00003596816,0.001468422,0.0002662155,0.02032634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04047777,"threshold_uncertainty_score":0.1354117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323206568061113,"score_gpt":0.2707003959407621,"score_spread":0.257468330260151,"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."}}