{"id":"W4254071154","doi":"10.1007/s11307-019-01453-z","title":"Proceedings of the World Molecular Imaging Congress 2019, Montreal Quebec, Canada September 4-7, 2019: Late-Breaking Abstracts","year":2019,"lang":"en","type":"article","venue":"Molecular Imaging and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Political science; 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":[0.003150407,0.001711499,0.001380394,0.001818469,0.004239108,0.00778574,0.001833982,0.002765087,0.2413764],"category_scores_gemma":[0.00269195,0.0005104805,0.0009830868,0.001305851,0.001227729,0.001152113,0.002246966,0.003654594,0.06836116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01477098,"about_ca_system_score_gemma":0.02289001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.516698,"about_ca_topic_score_gemma":0.8347448,"domain_scores_codex":[0.9984885,0.0001011546,0.00003053002,0.0001111418,0.0009368742,0.0003317621],"domain_scores_gemma":[0.9951315,0.0001628212,0.00009854126,0.0001001873,0.003141418,0.001365488],"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":[0.00005378613,0.0000163628,0.00013948,0.00005164069,0.000007659002,0.00003424888,0.00001462757,0.00004711103,0.0002588225,0.0003172606,0.9909866,0.00807231],"study_design_scores_gemma":[0.00001768992,0.00001639921,0.002144133,0.00007214367,0.00001119573,0.00003136527,0.00007954238,0.0001351239,0.0002539266,0.000243772,0.9969804,0.00001427054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006940383,0.05704574,0.006480671,0.1561317,0.2151645,0.001130471,0.03203946,0.002385124,0.522682],"genre_scores_gemma":[0.007242424,0.008770629,0.001290343,0.003870779,0.006914168,0.00008606014,0.006684759,0.0004077743,0.964733],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.516698,"threshold_uncertainty_score":0.9722965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004883568383052641,"score_gpt":0.2535974509708538,"score_spread":0.2487138825878012,"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."}}