{"id":"W4287601782","doi":"10.5281/zenodo.4482900","title":"MeDAL","year":2020,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Medal; Art; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001404708,0.001418745,0.001116149,0.00246251,0.001614572,0.005982122,0.002619329,0.002351987,0.875275],"category_scores_gemma":[0.007483003,0.0006847024,0.001084121,0.002052836,0.0005092378,0.005113285,0.005186703,0.001677927,0.840853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359176,"about_ca_system_score_gemma":0.001616791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00261288,"about_ca_topic_score_gemma":0.004467078,"domain_scores_codex":[0.998497,0.0002245346,0.0001070612,0.0003626168,0.0006074416,0.0002013894],"domain_scores_gemma":[0.9972198,0.000376332,0.0001225697,0.0006422996,0.0008961429,0.0007428598],"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":[0.00006478441,0.0000126127,0.0001267465,0.0001430728,0.000005107525,0.00003523429,0.00003085483,0.00005002176,0.000165819,0.002252729,0.9570929,0.04002018],"study_design_scores_gemma":[0.00001343252,0.000008840694,0.00019851,0.00003789258,0.000001951595,0.00005580206,0.00002152289,0.00004451623,0.0001176653,0.000925468,0.9985672,0.000007016098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008036137,0.001257801,0.006140397,0.005575271,0.00423689,0.000311621,0.1236568,0.03326284,0.8247548],"genre_scores_gemma":[0.006598626,0.001389991,0.005520592,0.00524231,0.001567577,0.000332455,0.1331421,0.01205149,0.8341548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.124725,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061411240437228,"score_gpt":0.2414854260926726,"score_spread":0.2108713136883003,"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."}}