{"id":"W6946198228","doi":"10.34745/numerev_1834","title":"La création d’une archive web pour faciliter la recherche future sur la COVID-19 au Canada","year":2022,"lang":"fr","type":"article","venue":"NumeRev","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web site; Social web; Web technology; Web of 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","open_science"],"consensus_categories":[],"category_scores_codex":[0.006086966,0.0003908223,0.0005638059,0.004338817,0.02098235,0.02120063,0.001746395,0.002003994,0.04066139],"category_scores_gemma":[0.009901812,0.0005702043,0.0006038636,0.009691707,0.007315022,0.006972754,0.007047386,0.003262947,0.003469033],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0839281,"about_ca_system_score_gemma":0.3207864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.982617,"about_ca_topic_score_gemma":0.991167,"domain_scores_codex":[0.9937319,0.001240254,0.0002253463,0.0005240327,0.002767092,0.001511397],"domain_scores_gemma":[0.9819971,0.002588403,0.0006008013,0.001420547,0.00921389,0.004179224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001238074,0.000109808,0.01549206,0.0006920628,0.00005525728,0.0007828846,0.04291141,0.0008941105,0.002005101,0.4381579,0.2371956,0.26158],"study_design_scores_gemma":[0.00001086512,0.00001338245,0.00860676,0.0003709536,0.00002067437,0.00006724105,0.02221531,0.0003501759,0.0006935534,0.005468951,0.9621454,0.00003675994],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06750929,0.0174098,0.02025116,0.1665359,0.002453598,0.0005397982,0.005269123,0.001133759,0.7188976],"genre_scores_gemma":[0.4038009,0.02020466,0.0320611,0.01263821,0.0004615299,0.0003827874,0.002262931,0.0008309233,0.527357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9982536,"threshold_uncertainty_score":0.6089438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562066890973782,"score_gpt":0.289467005274175,"score_spread":0.1332603161767968,"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."}}