{"id":"W3035739940","doi":"10.1016/j.media.2020.101754","title":"Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks","year":2020,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mitel (Canada); Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Artificial intelligence; Computer science; Ground truth; Segmentation; Discriminative model; Encoder; Computer vision; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003221818,0.0005752128,0.0004338099,0.0004040892,0.0001326678,0.0003201865,0.0006403844,0.0005421349,0.0008931686],"category_scores_gemma":[0.001013379,0.000359038,0.0004947268,0.0003820132,0.0002259674,0.0004864756,0.0005095495,0.0007275392,0.0003497055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003371877,"about_ca_system_score_gemma":0.0004875046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005088093,"about_ca_topic_score_gemma":0.008124782,"domain_scores_codex":[0.9998838,0.00002234564,0.00000478363,0.00003654533,0.00003002922,0.00002249647],"domain_scores_gemma":[0.9997193,0.0001522634,0.00003789757,0.00002469342,0.00004487338,0.00002091205],"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":[0.0004991247,0.0001492167,0.005375714,0.00009026589,0.00009082303,0.0002029784,0.00005043212,0.7395108,0.02873474,0.001283455,0.002732724,0.2212797],"study_design_scores_gemma":[0.000002173617,0.00001495177,0.0005029982,0.000001725202,0.000005666493,0.00002642194,0.00000286255,0.9974228,0.00160022,0.0003249661,0.00009313328,0.000002033782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1976136,0.0007739991,0.7976366,0.0003642192,0.0001017716,0.00005812161,0.0004728772,0.001422637,0.001556299],"genre_scores_gemma":[0.956904,0.0002989921,0.03982124,0.0001065276,0.00004163902,0.00003018507,0.0005435882,0.0001054732,0.002148408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005088093,"threshold_uncertainty_score":0.01011693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006308130476169781,"score_gpt":0.2419386717771066,"score_spread":0.2356305413009368,"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."}}