{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003357679,0.001194723,0.0007473759,0.001653771,0.0007723314,0.004858958,0.002648809,0.001625062,0.05616644],"category_scores_gemma":[0.007163724,0.0008313888,0.001468315,0.0009518081,0.0007430922,0.004669041,0.007515563,0.003062383,0.03316922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039881,"about_ca_system_score_gemma":0.001893517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735575,"about_ca_topic_score_gemma":0.001589466,"domain_scores_codex":[0.9970209,0.0003496304,0.000237669,0.0006757032,0.00139476,0.0003212844],"domain_scores_gemma":[0.9970165,0.0004574167,0.0001238676,0.000981934,0.001032421,0.0003878822],"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":[0.001842509,0.0007916013,0.01086963,0.001462026,0.000303346,0.001369182,0.001948691,0.00937181,0.06188088,0.08794115,0.4859452,0.336274],"study_design_scores_gemma":[0.0001339887,0.0001094247,0.002101903,0.0001381609,0.00003491137,0.0004669206,0.0002028923,0.008973973,0.0161011,0.01038752,0.9612939,0.00005530699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02426282,0.001110843,0.4496484,0.002552967,0.00161139,0.001416542,0.02109061,0.1853685,0.3129378],"genre_scores_gemma":[0.1871675,0.00162328,0.351574,0.005527824,0.0006666922,0.001806389,0.1613196,0.04941306,0.2409016],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.995141,"threshold_uncertainty_score":0.1878955,"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."}}