{"id":"W6931028258","doi":"10.5281/zenodo.6159980","title":"Epimicta Foerster","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Autophagy in Disease and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ovipositor; Depression (economics); Head (geology); Genus; Wing; Margin (machine learning)","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":[0.0001383447,0.0009725069,0.0003481053,0.00213221,0.001710149,0.0004292916,0.0006906948,0.0006361721,0.02940353],"category_scores_gemma":[0.0003976242,0.0002414866,0.0002001016,0.0007664483,0.0005353831,0.001558231,0.001059246,0.000729501,0.008184151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005956338,"about_ca_system_score_gemma":0.0003045738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005324419,"about_ca_topic_score_gemma":0.01138437,"domain_scores_codex":[0.999822,0.00001633968,0.00001768561,0.00008155926,0.00003538824,0.00002715436],"domain_scores_gemma":[0.999801,0.0000246241,0.00008109237,0.0000212221,0.00004607119,0.00002599232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003176865,0.0001040765,0.01436588,0.000698695,0.00004566608,0.001973178,0.002321124,0.0004288753,0.014792,0.005901692,0.07675515,0.882296],"study_design_scores_gemma":[0.00003943031,0.0002174943,0.08787265,0.0005571189,0.0001116176,0.006874487,0.001174434,0.0003955115,0.002524228,0.002558305,0.8976375,0.00003731553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3090987,0.05894021,0.01398501,0.004256531,0.002764598,0.0008278975,0.008809701,0.003189065,0.5981283],"genre_scores_gemma":[0.8403955,0.01121929,0.01945261,0.002358389,0.00133871,0.0003496728,0.003307489,0.0001427991,0.1214356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02940353,"threshold_uncertainty_score":0.09836465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064204254476581,"score_gpt":0.2537949941771207,"score_spread":0.2231529516323549,"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."}}