{"id":"W4394024822","doi":"10.5281/zenodo.10216050","title":"Lest we forget","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":[0.002734342,0.001450614,0.001113233,0.001117837,0.009719142,0.01377421,0.001929632,0.00617277,0.2835197],"category_scores_gemma":[0.01660237,0.0004665673,0.0009376697,0.0009969348,0.007329888,0.01529106,0.008694218,0.01286541,0.2596846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002537741,"about_ca_system_score_gemma":0.004588954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008347485,"about_ca_topic_score_gemma":0.01399268,"domain_scores_codex":[0.99632,0.0008837151,0.0001328793,0.0007128139,0.001267574,0.0006830794],"domain_scores_gemma":[0.9945634,0.0006013075,0.0003060098,0.0007938784,0.002198768,0.001536685],"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":[0.00002121633,0.00002240126,0.0002275912,0.00009538289,0.000007510126,0.0001503682,0.001647375,0.00001536616,0.0001170908,0.01508617,0.9517592,0.0308504],"study_design_scores_gemma":[0.000002582579,0.000006360845,0.00007519396,0.0001091399,0.000002489435,0.0001241511,0.00140308,0.000007607608,0.00004359412,0.00206311,0.9961546,0.000008069239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.001884569,0.01700986,0.003249328,0.457411,0.1194081,0.0001106108,0.001142578,0.001724211,0.3980596],"genre_scores_gemma":[0.01080521,0.00639628,0.001535826,0.1496958,0.01166955,0.00008142601,0.0005174634,0.001216455,0.8180819],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2835197,"threshold_uncertainty_score":0.948468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04546162936764753,"score_gpt":0.292719315864632,"score_spread":0.2472576864969845,"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."}}