{"id":"W2440075482","doi":"","title":"Society of Nuclear Medicine -- 52nd Annual Meeting. Cancer therapeutics, 18-22 June, 2005, Toronto, Canada.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Family medicine; Library science; Gerontology; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001424529,0.001398351,0.0007405762,0.001459519,0.002000717,0.002234036,0.0009819322,0.001828874,0.1422109],"category_scores_gemma":[0.001110332,0.0006331001,0.0004234447,0.00132129,0.0008380162,0.0007475202,0.001110035,0.002225302,0.08063956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008010838,"about_ca_system_score_gemma":0.01493491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2540568,"about_ca_topic_score_gemma":0.6633328,"domain_scores_codex":[0.9993902,0.00005361863,0.00002909506,0.00007526832,0.0002915649,0.0001602538],"domain_scores_gemma":[0.9967532,0.00009692459,0.0000625625,0.00005052194,0.002228868,0.0008078362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002285196,0.0000307528,0.001084482,0.0002912513,0.00002156386,0.0002077241,0.0000633921,0.0001350814,0.001790041,0.0006639638,0.9025325,0.09295078],"study_design_scores_gemma":[0.00002196122,0.00004774535,0.005828917,0.0001348643,0.00001913759,0.0003377492,0.00009670745,0.00005904886,0.0005265729,0.0001421802,0.9927728,0.00001239949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01260342,0.3183621,0.005991246,0.08409757,0.05885504,0.0005708053,0.01253443,0.001237594,0.5057477],"genre_scores_gemma":[0.01300901,0.06572782,0.001581329,0.001636964,0.002379566,0.00006301489,0.00380862,0.0001497489,0.911644],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7459432,"threshold_uncertainty_score":0.505156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180039528077463,"score_gpt":0.2990574801553083,"score_spread":0.2672570848745336,"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."}}