{"id":"W4244002640","doi":"10.31525/ct1-nct03859349","title":"The Canada Lymph Node Score","year":2019,"lang":"en","type":"article","venue":"Case Medical Research","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lymph node; Medicine; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007729093,0.0005041651,0.0005842149,0.005292378,0.002011666,0.001775346,0.00137125,0.0007009235,0.02390964],"category_scores_gemma":[0.007757276,0.0002043862,0.0008763583,0.005121824,0.0009934513,0.0008317905,0.00127887,0.001282946,0.003139867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01937623,"about_ca_system_score_gemma":0.02833901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8824269,"about_ca_topic_score_gemma":0.9353186,"domain_scores_codex":[0.9981426,0.0001812,0.0001004244,0.0001840767,0.0009085031,0.0004832265],"domain_scores_gemma":[0.9960544,0.0002868019,0.0004185542,0.00009679412,0.002131629,0.001011796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003686746,0.00003986215,0.7214161,0.0002026799,0.0002784667,0.000445859,0.0002848916,0.0008000153,0.0002431187,0.004798257,0.2141224,0.05699969],"study_design_scores_gemma":[0.0001287589,0.00009081227,0.8170422,0.0004424765,0.0002703024,0.002206702,0.001235473,0.001081168,0.0002524732,0.002756401,0.1743996,0.00009364806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2321939,0.01276587,0.002215383,0.01700814,0.001509681,0.000476246,0.08596813,0.0003439386,0.6475186],"genre_scores_gemma":[0.8760045,0.007374133,0.003665434,0.002340894,0.0005167408,0.0002964189,0.02859578,0.0001787444,0.08102752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1175731,"threshold_uncertainty_score":0.2365311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06986590341391169,"score_gpt":0.4191493702281064,"score_spread":0.3492834668141947,"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."}}