{"id":"W3005668304","doi":"10.33218/001c.11897","title":"11 Years of CLINAM, the European Foundation for Clinical Nanomedicine","year":2020,"lang":"en","type":"article","venue":"Precision Nanomedicine","topic":"Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; Nanomedicine; Political science; Medicine; Engineering; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020636,0.00014116,0.0005282866,0.00009113862,0.0000655315,0.000008781715,0.0002075279,0.00005201476,0.0003227098],"category_scores_gemma":[0.00236444,0.00008524141,0.0002137606,0.0003678752,0.0002966827,0.00004688478,0.0001004946,0.0002056516,0.00009218177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005116101,"about_ca_system_score_gemma":0.000172139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003083166,"about_ca_topic_score_gemma":0.000007241484,"domain_scores_codex":[0.997763,0.000191231,0.0008137695,0.000370267,0.0006058832,0.0002558756],"domain_scores_gemma":[0.997779,0.0009594726,0.000213608,0.0004263114,0.0002430767,0.0003785543],"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":[0.002395093,0.0003478251,0.02140102,0.0001632732,0.0001732548,0.00006321225,0.0006149153,0.000001892461,0.001657164,0.0001225106,0.03717797,0.9358819],"study_design_scores_gemma":[0.01499568,0.007404493,0.2663462,0.0003722886,0.0003384572,0.00003060461,0.0002676133,0.0005110007,0.0004513892,0.0002003193,0.7089573,0.0001246423],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8284216,0.006015845,0.01831456,0.1299166,0.001564599,0.006430909,0.0001002673,0.0001942871,0.009041355],"genre_scores_gemma":[0.9925094,0.001596323,0.001138087,0.002177452,0.001734289,0.00004452983,0.000146136,0.0000377116,0.0006161124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9357572,"threshold_uncertainty_score":0.3533446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558483114345676,"score_gpt":0.446409331119025,"score_spread":0.2905610196844575,"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."}}