{"id":"W6931601294","doi":"10.5281/zenodo.6968433","title":"VIVO-DSpace Integration","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Veterinary medicine and infectious diseases","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Interoperability; Open source; Variety (cybernetics); DSPACE; Work (physics); Open source software; Process (computing)","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004573613,0.0001201903,0.0001153103,0.0002170761,0.003363681,0.0002344865,0.0005713443,0.0000246096,0.09932865],"category_scores_gemma":[0.0002875321,0.0001290535,0.00006082047,0.0004763764,0.00007910823,0.0002355832,0.001189416,0.0002892658,0.003867958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121149,"about_ca_system_score_gemma":0.000003742998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003235046,"about_ca_topic_score_gemma":1.175785e-7,"domain_scores_codex":[0.9983637,0.0004829634,0.0001868871,0.0003241902,0.0003731915,0.0002691049],"domain_scores_gemma":[0.9991977,0.00001830802,0.00007958402,0.000374687,0.0001976423,0.0001321455],"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":[0.0005370339,0.0004707331,0.00001095762,0.00004880269,0.00005377194,0.0002258563,0.002254501,0.00007901536,0.04293853,0.003914933,0.8706543,0.07881152],"study_design_scores_gemma":[0.0004258729,0.002396517,0.0004253082,0.00001024535,0.00001460015,0.001412541,0.001543923,0.0004455209,0.0001390994,0.0001334431,0.9929022,0.0001507049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5268145,0.0001694212,0.003263719,0.00158027,0.0004552637,0.0006921272,0.000480665,0.002278643,0.4642654],"genre_scores_gemma":[0.9959437,0.00002277802,0.00005232931,0.0003717256,0.0001711028,1.898501e-7,0.001144278,0.0007809625,0.001512965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4691292,"threshold_uncertainty_score":0.9979338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07402606922434145,"score_gpt":0.3000703091179976,"score_spread":0.2260442398936561,"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."}}