{"id":"W3110880763","doi":"10.2967/jnumed.120.253450","title":"Mars Shot for Nuclear Medicine, Molecular Imaging, and Molecularly Targeted Radiopharmaceutical Therapy","year":2020,"lang":"en","type":"review","venue":"Journal of Nuclear Medicine","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University; BC Cancer Agency","funders":"Society of Nuclear Medicine and Molecular Imaging","keywords":"Molecular imaging; Medicine; Value (mathematics); Medical physics; Engineering ethics; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006533737,0.000672032,0.003334999,0.0002811003,0.0001314067,0.00002905297,0.0004815756,0.0003303586,0.0009910363],"category_scores_gemma":[0.0006816227,0.0004487617,0.0006966568,0.0004804458,0.0008114147,0.00009060572,0.00006537651,0.00166993,0.00001701988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156729,"about_ca_system_score_gemma":0.0002039123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002091297,"about_ca_topic_score_gemma":9.20237e-9,"domain_scores_codex":[0.9964662,0.0001390276,0.001643767,0.0005293566,0.0007731955,0.0004484671],"domain_scores_gemma":[0.9967282,0.0003155345,0.0009108656,0.0004094138,0.0003408405,0.001295139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009827954,0.0002760887,0.000002035842,0.01201941,0.001919119,0.002364676,0.000347907,2.863983e-7,0.02182831,0.001277215,0.112376,0.8466062],"study_design_scores_gemma":[0.005059932,0.001072455,0.000003774932,0.00788649,0.004730811,0.005809997,0.000123749,0.0001879805,0.0000514902,0.0001145419,0.9746268,0.0003319644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000574983,0.9573606,0.0001899779,0.03968153,0.0002642428,0.001089792,0.00002113838,0.00005662011,0.001278563],"genre_scores_gemma":[0.0005530695,0.9849221,0.001411417,0.01049944,0.002272378,0.00001404147,0.00004496488,0.0002440387,0.00003861675],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8622509,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08756989407700523,"score_gpt":0.4153802890624932,"score_spread":0.327810394985488,"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."}}