{"id":"W2524520056","doi":"10.3413/nukmed-0263","title":"18F-FDG-PET and MRI in patients with malignancies of the liver and pancreas","year":2010,"lang":"en","type":"article","venue":"Nuklearmedizin - NuclearMedicine","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Nuclear medicine; Image registration; Magnetic resonance imaging; Medicine; Image fusion; Positron emission tomography; Radiology; Artificial intelligence; Computer science; Image (mathematics)","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":[0.0009907765,0.0003440124,0.0004639271,0.0005789216,0.0002191046,0.0004439707,0.0002986644,0.0006768336,0.000756182],"category_scores_gemma":[0.005596529,0.0002885033,0.0002810345,0.0003695459,0.0003182431,0.0004804843,0.0003743744,0.0003180669,0.0004044946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277376,"about_ca_system_score_gemma":0.0002882316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008085099,"about_ca_topic_score_gemma":0.001110053,"domain_scores_codex":[0.9994602,0.0002173805,0.00005703948,0.0001014675,0.0001035475,0.00006038881],"domain_scores_gemma":[0.9989818,0.0003616904,0.0003290761,0.00008306417,0.00009174202,0.0001527178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001075238,0.00006032773,0.9861329,0.00003037982,0.00004268959,0.001466982,0.0001110226,0.0003181223,0.002225397,0.00001581787,0.0001011395,0.008420199],"study_design_scores_gemma":[0.00008499779,0.001310653,0.9771131,0.0000157995,0.00008352056,0.01695272,0.0002889769,0.001890218,0.001716804,0.00004807819,0.000479549,0.00001550692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987051,0.0006621351,0.000285033,0.00004289727,0.00000782297,0.000008777459,0.00004051258,0.000009985226,0.000237678],"genre_scores_gemma":[0.9993504,0.0001294846,0.0003384156,0.00001971007,0.00001182241,0.000006699329,0.00008909009,0.000001980745,0.00005236732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009907765,"threshold_uncertainty_score":0.005239785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005718361602601644,"score_gpt":0.2299711533915521,"score_spread":0.2242527917889504,"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."}}