{"id":"W3082082459","doi":"10.7202/1071200ar","title":"Mieux connaître pour mieux aider","year":2020,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Political science; Publics; Humanities; Art; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007187793,0.0005891729,0.0005671864,0.00410508,0.01370905,0.01614598,0.00156325,0.002150017,0.0560502],"category_scores_gemma":[0.02182168,0.0004925308,0.0004308164,0.006539801,0.004605218,0.007997368,0.006872807,0.002770437,0.01055348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03249957,"about_ca_system_score_gemma":0.05397277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6425582,"about_ca_topic_score_gemma":0.7826343,"domain_scores_codex":[0.9916909,0.002463284,0.000329267,0.0008895407,0.003608208,0.00101892],"domain_scores_gemma":[0.983268,0.002399692,0.0008894202,0.002100042,0.008949256,0.002393711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001876801,0.0002418122,0.03256574,0.0005858001,0.00007627173,0.0007274059,0.101281,0.0009526995,0.005270625,0.2249071,0.2008065,0.4323972],"study_design_scores_gemma":[0.00001081638,0.00003672452,0.01261891,0.0002617141,0.00002492262,0.0001070841,0.01607346,0.0007281186,0.0008843032,0.005721352,0.9634851,0.00004752887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08461062,0.005040907,0.03410095,0.07124035,0.001208613,0.0005689325,0.001345401,0.003258145,0.7986261],"genre_scores_gemma":[0.4466264,0.003409822,0.03250723,0.003690799,0.000369983,0.0002625131,0.001092006,0.0009012293,0.51114],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6425582,"threshold_uncertainty_score":0.7190938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2091580523433947,"score_gpt":0.3692458163787837,"score_spread":0.160087764035389,"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."}}