{"id":"W4415077465","doi":"10.1007/978-3-032-07502-4_10","title":"Imagining Alternatives: Towards High-Resolution 3D Counterfactual Medical Image Generation via Language Guidance","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Counterfactual thinking; Medical imaging; Fidelity; Image (mathematics); Natural language; Natural language generation; Limiting; Visualization","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":[0.002215806,0.000653053,0.0006142708,0.0004485118,0.0003239318,0.002174906,0.001688432,0.002039045,0.006293336],"category_scores_gemma":[0.007091461,0.000777934,0.0009166495,0.0003389457,0.002072559,0.001918275,0.003440827,0.002151315,0.00112018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000570435,"about_ca_system_score_gemma":0.0004415763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006084644,"about_ca_topic_score_gemma":0.0006205548,"domain_scores_codex":[0.999227,0.0004056653,0.00002089099,0.0001062482,0.0001973417,0.00004278067],"domain_scores_gemma":[0.9973798,0.002108953,0.0001240479,0.0002180026,0.0001086465,0.00006047625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005871001,0.00009031808,0.0004891344,0.0004400042,0.0001241592,0.0007456673,0.001021085,0.4755283,0.02986483,0.3169073,0.007950008,0.1662522],"study_design_scores_gemma":[0.00002485081,0.00002643619,0.00004715198,0.00002633027,0.000007389392,0.0001224175,0.00003761324,0.8914623,0.003352299,0.1023839,0.002496328,0.00001312784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005343485,0.0001504731,0.9904361,0.000461582,0.00004650126,0.00004784523,0.00005728077,0.0004130538,0.003043635],"genre_scores_gemma":[0.3057459,0.0003168712,0.6876519,0.0006600107,0.00009172324,0.0002048744,0.000250053,0.0003795022,0.004699124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006293336,"threshold_uncertainty_score":0.02105325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162071691506672,"score_gpt":0.2573483645142772,"score_spread":0.2457276475992105,"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."}}