{"id":"W4287601469","doi":"10.5281/zenodo.4265633","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002231125,0.0002367209,0.0002131428,0.00009011955,0.000945256,0.0005417666,0.001169762,0.0002352836,0.0147401],"category_scores_gemma":[0.0002299504,0.0002418549,0.0001128169,0.0001929301,0.00007662058,0.00001002707,0.001794258,0.0003399299,0.0454861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003682501,"about_ca_system_score_gemma":0.000009131447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005367286,"about_ca_topic_score_gemma":5.978175e-8,"domain_scores_codex":[0.9985961,0.0001299325,0.0002994914,0.0004192427,0.0002294003,0.0003258151],"domain_scores_gemma":[0.9988308,0.000002680778,0.0001634992,0.0005382494,0.0003071764,0.000157583],"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":[0.00005568262,0.00003610998,4.563353e-8,0.0001290186,0.000097116,0.00000145852,0.0001497051,0.00003380045,0.01178307,0.0001233944,0.9662556,0.02133497],"study_design_scores_gemma":[0.0003554027,0.0003565411,0.0000131307,0.00002304674,0.00001805508,0.0000659701,0.0001332049,0.0001146891,0.003000367,0.000007370637,0.9956415,0.0002707783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.001761589,0.001508759,0.00446966,0.001095508,0.0005461841,0.0006532004,0.001197917,0.000176878,0.9885903],"genre_scores_gemma":[0.2847909,0.01101124,0.002447893,0.003533174,0.007730954,5.614008e-7,0.3674973,0.01701111,0.3059769],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6826134,"threshold_uncertainty_score":0.9862556,"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."}}