{"id":"W4415704491","doi":"10.1016/j.arth.2025.10.103","title":"2025 ICM: Samples for Culture","year":2025,"lang":"en","type":"article","venue":"The Journal of Arthroplasty","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007190538,0.00005755503,0.0001104204,0.00007882877,0.0001935724,0.0001591069,0.0007742812,0.00002425113,0.000009353287],"category_scores_gemma":[0.0000623212,0.00002885989,0.00007374753,0.0003166609,0.00004650296,0.002143253,0.00008818509,0.00008510876,0.00001765017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001064918,"about_ca_system_score_gemma":0.0001666392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001620635,"about_ca_topic_score_gemma":0.000001411554,"domain_scores_codex":[0.9992765,0.00004658596,0.0003237218,0.00004665234,0.0001884319,0.0001181375],"domain_scores_gemma":[0.9992233,0.000149312,0.0002300941,0.0001998413,0.0001620323,0.00003542244],"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":[0.0000551279,0.00003907659,0.00161823,0.00003968185,0.0000691105,0.000001350503,0.01126669,0.0009440719,0.0007286876,0.115963,0.8290058,0.04026915],"study_design_scores_gemma":[0.0004792748,0.0002006863,0.001722765,0.0000716846,0.000004996143,0.00006381294,0.001099257,0.004104432,0.002225515,0.007269329,0.982688,0.00007024826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01546114,0.0004892637,0.9702408,0.006985482,0.001808417,0.0001452919,0.000003141687,0.00002001767,0.004846478],"genre_scores_gemma":[0.9570761,0.0003792266,0.02654899,0.005691089,0.000408432,0.000004242079,9.992957e-7,0.000004127333,0.009886736],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9436918,"threshold_uncertainty_score":0.1553807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018531096870666,"score_gpt":0.2583141768265215,"score_spread":0.2397830799558555,"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."}}