{"id":"W4410286508","doi":"10.1007/978-3-030-65430-6_234-1","title":"Little League Elbow","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Elbow and Forearm Trauma Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"League; Elbow; Physical medicine and rehabilitation; Computer science; Medicine; Anatomy; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001832061,0.000915275,0.00045223,0.001322815,0.001751422,0.002749792,0.0006710914,0.001354387,0.3236244],"category_scores_gemma":[0.0004574308,0.0003901353,0.0003326537,0.0009592117,0.0005756338,0.00204327,0.001863672,0.001970356,0.1634521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007675173,"about_ca_system_score_gemma":0.0008852881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005014332,"about_ca_topic_score_gemma":0.03475446,"domain_scores_codex":[0.9998698,0.00001208363,0.000005086364,0.0000278134,0.00006401149,0.00002115036],"domain_scores_gemma":[0.9998997,0.00002161663,0.00000419143,0.00001000749,0.0000327923,0.00003172688],"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":[0.00001778745,0.00003433935,0.0001135928,0.00007603624,0.000002414498,0.0001698266,0.0002119001,0.000182006,0.0003438016,0.02606031,0.7625294,0.2102586],"study_design_scores_gemma":[0.000001241041,0.000005038817,0.00008818685,0.00006309382,7.793528e-7,0.0001330433,0.00005152313,0.00003650176,0.00004505342,0.002154372,0.9974191,0.000002059157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002178157,0.005524706,0.0007215452,0.0007471206,0.001146122,0.00001534756,0.0000814713,0.0000953915,0.9914505],"genre_scores_gemma":[0.0004785575,0.001040355,0.0001753054,0.0001993838,0.00006700811,0.000005447271,0.00002858236,0.00002700575,0.9979783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3236244,"threshold_uncertainty_score":0.9647676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394358956593946,"score_gpt":0.2631529020894227,"score_spread":0.2392093125234832,"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."}}