{"id":"W6931148038","doi":"10.5281/zenodo.3973709","title":"digitallinguistics/app: v0.1.5","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Action (physics); Identification (biology)","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":[0.001160449,0.002022228,0.001045408,0.001501683,0.0006116341,0.002609794,0.002451751,0.00183979,0.5499858],"category_scores_gemma":[0.003865779,0.001209576,0.00104703,0.0005995313,0.0005610831,0.002904711,0.003723569,0.001748361,0.5089973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945689,"about_ca_system_score_gemma":0.0005632655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002025089,"about_ca_topic_score_gemma":0.003048071,"domain_scores_codex":[0.9992622,0.00007549921,0.00004812661,0.0001567652,0.0003268486,0.0001305724],"domain_scores_gemma":[0.9985324,0.0004350393,0.00005466769,0.0004308785,0.000321374,0.0002255917],"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":[0.0003780134,0.00003107327,0.0002731358,0.0003096253,0.00001793703,0.0002028766,0.000128314,0.0001624416,0.00377497,0.001942175,0.9272485,0.06553089],"study_design_scores_gemma":[0.0001825672,0.00008288586,0.001159343,0.0001307047,0.00002331019,0.0004898506,0.00006385528,0.002267384,0.01024627,0.004616068,0.9806345,0.0001033665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001253507,0.0003968795,0.05630705,0.0004203533,0.001031183,0.0002961284,0.03135834,0.8123766,0.09655993],"genre_scores_gemma":[0.02869264,0.000628692,0.04195631,0.001975792,0.0006839751,0.001085335,0.08162482,0.4882743,0.355078],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5499858,"threshold_uncertainty_score":0.6418906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878431479963939,"score_gpt":0.2326684802133896,"score_spread":0.2138841654137502,"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."}}