{"id":"W7133017542","doi":"","title":"Rapport final du sondage sur la capacité de préservation numérique et les besoins des institutions de la mémoire au Canada, 2017-2018","year":2019,"lang":"en","type":"report","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arizona Biomedical Research Commission","keywords":"Stewardship (theology); Resource (disambiguation); Digital preservation; Phase (matter); State (computer science)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003978755,0.0003869436,0.0004334521,0.004428635,0.005590964,0.006612814,0.001064608,0.0007161843,0.0145775],"category_scores_gemma":[0.01193272,0.0003640397,0.0004067086,0.007923464,0.001627124,0.002004617,0.002555395,0.00156527,0.001421601],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08828662,"about_ca_system_score_gemma":0.1352429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934838,"about_ca_topic_score_gemma":0.9952661,"domain_scores_codex":[0.9957402,0.0002273911,0.0001322868,0.0002711838,0.002583413,0.001045643],"domain_scores_gemma":[0.9754732,0.001789056,0.0007578492,0.0003008906,0.01973979,0.00193921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002441989,0.00009525816,0.290179,0.0009393613,0.00007629597,0.0004433999,0.04511469,0.0008767951,0.0008976549,0.0190222,0.4990807,0.1430305],"study_design_scores_gemma":[0.00001279386,0.00004737367,0.3647511,0.0008648582,0.00004917267,0.0001461445,0.09618778,0.0007047197,0.001473075,0.0007502415,0.534914,0.00009875818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5127885,0.01724379,0.003993777,0.05652893,0.001785253,0.0006534748,0.1214233,0.0005413783,0.2850416],"genre_scores_gemma":[0.7692671,0.01176356,0.004019638,0.003453787,0.0002742878,0.0003948057,0.02645125,0.0002360859,0.1841396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9933872,"threshold_uncertainty_score":0.6405672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092649646324587,"score_gpt":0.35816090390272,"score_spread":0.2488959392702613,"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."}}