{"id":"W6931132694","doi":"10.5281/zenodo.2561098","title":"juliema/aTRAM: Improve aTRAM stability","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biological Stains and Phytochemicals","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stability (learning theory); Footprint; Complete information; Task (project management); Key (lock); Term (time)","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":[],"consensus_categories":[],"category_scores_codex":[0.009449179,0.002565441,0.001963391,0.002141163,0.002070918,0.005715175,0.005779175,0.00245612,0.1102271],"category_scores_gemma":[0.02402533,0.002716335,0.002594875,0.001792355,0.0008745164,0.006975891,0.005281582,0.006507348,0.153775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282225,"about_ca_system_score_gemma":0.001469496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002226389,"about_ca_topic_score_gemma":0.002885085,"domain_scores_codex":[0.9935197,0.0009107072,0.0007440865,0.001545601,0.002695231,0.000584598],"domain_scores_gemma":[0.9917358,0.002022434,0.0004157193,0.002889916,0.002397744,0.0005384496],"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":[0.002039916,0.0003060576,0.002780011,0.0009480324,0.0002407547,0.0003872796,0.0007719608,0.0009691751,0.05331836,0.003405684,0.8224158,0.112417],"study_design_scores_gemma":[0.0005559377,0.0002650381,0.003166314,0.000222178,0.0001759679,0.0006035193,0.0001762298,0.01768718,0.17009,0.005050671,0.8015867,0.0004202662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.008848461,0.000735999,0.0842616,0.001657668,0.001474559,0.0002476675,0.01786537,0.8718889,0.01301979],"genre_scores_gemma":[0.03900127,0.0007137928,0.1644551,0.002399,0.0004854659,0.0008115008,0.07322638,0.6730666,0.04584095],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1102271,"threshold_uncertainty_score":0.3687463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209964733934837,"score_gpt":0.2666637956346556,"score_spread":0.2245641482953072,"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."}}