{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02184471,0.00213487,0.001396407,0.00252235,0.002496227,0.0083593,0.002046322,0.007297166,0.04877055],"category_scores_gemma":[0.01296575,0.0007735692,0.001202446,0.001531844,0.002772315,0.003777521,0.006458552,0.01050798,0.03269029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005769449,"about_ca_system_score_gemma":0.02498477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016472,"about_ca_topic_score_gemma":0.007724389,"domain_scores_codex":[0.9916809,0.0012062,0.0004290754,0.001048884,0.003923516,0.001711366],"domain_scores_gemma":[0.9727079,0.0009214406,0.001029885,0.001130378,0.007741148,0.01646918],"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":[0.000295292,0.0003056672,0.000739323,0.0003389807,0.00004185196,0.0002189647,0.0001806055,0.0002534527,0.001465287,0.02700204,0.84615,0.1230085],"study_design_scores_gemma":[0.00002936273,0.0001010137,0.0004162252,0.0001928012,0.000005600177,0.000100672,0.00002401208,0.00006367052,0.0002782799,0.00109904,0.9976797,0.000009657671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00591117,0.1531358,0.01515148,0.4024653,0.199986,0.0009134415,0.003211341,0.001368264,0.2178571],"genre_scores_gemma":[0.03444999,0.07265911,0.0107863,0.1328265,0.06034474,0.0008708034,0.006248105,0.001123038,0.6806914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04877055,"threshold_uncertainty_score":0.1631537,"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."}}