{"id":"W4392380876","doi":"","title":"Margins of stability before and after pain suppression in people with gonarthrosis","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Stability (learning theory); Physical medicine and rehabilitation; Computer science; Medicine; Machine learning","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":[0.0007282149,0.0002797839,0.0007924194,0.0009772987,0.0006308579,0.0009223457,0.0003568291,0.0007363904,0.0039913],"category_scores_gemma":[0.007262441,0.0001542855,0.0007447372,0.0008629691,0.000461759,0.0004927628,0.0006516022,0.0006583808,0.000351214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005865141,"about_ca_system_score_gemma":0.0004792502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006750515,"about_ca_topic_score_gemma":0.008405975,"domain_scores_codex":[0.999418,0.000113419,0.00006345686,0.00008550512,0.000168758,0.0001508735],"domain_scores_gemma":[0.9969092,0.0007932601,0.001156137,0.00007629496,0.0005317187,0.0005335064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00683355,0.0003761624,0.9455298,0.0003517387,0.0002513391,0.0005226715,0.002861841,0.0002274329,0.001570594,0.000122069,0.000644825,0.04070793],"study_design_scores_gemma":[0.0000177076,0.0006427349,0.9976267,0.00004265459,0.00005937697,0.00015237,0.0009596922,0.00004638558,0.00008716328,0.0000983455,0.0002541016,0.00001270114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954195,0.002011019,0.00008308984,0.0001603478,0.00004622349,0.00001431092,0.000252026,0.00000617861,0.002007348],"genre_scores_gemma":[0.9993235,0.0002244903,0.00003873022,0.00002729474,0.00001967626,0.000008505507,0.00008569474,0.000002178146,0.000270083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006750515,"threshold_uncertainty_score":0.01342249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005184232464353624,"score_gpt":0.2099351923858125,"score_spread":0.2047509599214588,"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."}}