{"id":"W4403494021","doi":"10.1561/116.20240044","title":"Automatic Medical Report Generation: Methods and Applications","year":2024,"lang":"en","type":"article","venue":"APSIPA Transactions on Signal and Information Processing","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.007417348,0.001448866,0.0009146839,0.005001727,0.0005650225,0.0031927,0.002491776,0.002082673,0.006776831],"category_scores_gemma":[0.02716711,0.0005862916,0.001130532,0.005041217,0.0007705982,0.002380998,0.001539064,0.00158613,0.006509784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008566,"about_ca_system_score_gemma":0.001636349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002500442,"about_ca_topic_score_gemma":0.00203686,"domain_scores_codex":[0.9954904,0.001643404,0.0004843909,0.0007838972,0.001484859,0.0001130746],"domain_scores_gemma":[0.9856418,0.008872521,0.0009652009,0.00163345,0.00266065,0.0002263574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001703474,0.00009679211,0.00253562,0.001197919,0.0001043534,0.0002019908,0.00015527,0.01176705,0.00359554,0.00702547,0.03675477,0.9363949],"study_design_scores_gemma":[0.0002414111,0.0004017814,0.009416612,0.001861721,0.0003099883,0.003451526,0.0006230823,0.4799315,0.03854889,0.09851724,0.3663216,0.0003746544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007707759,0.03406786,0.9277976,0.005037674,0.0008742052,0.0007585802,0.007041395,0.008608428,0.008106416],"genre_scores_gemma":[0.09585559,0.03134153,0.8523957,0.001132893,0.001518695,0.0008763378,0.01113961,0.0007088879,0.005030765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007417348,"threshold_uncertainty_score":0.03922719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551352571246318,"score_gpt":0.3377518521077463,"score_spread":0.3222383263952831,"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."}}