{"id":"W2910010896","doi":"10.4000/communicationorganisation.6653","title":"Big Data et relations publiques, étude de cas des pratiques numériques de Revenu Québec","year":2018,"lang":"fr","type":"article","venue":"Communication et organisation","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.008187856,0.000273495,0.0002564123,0.0002170413,0.002225116,0.0008445102,0.002628197,0.0005125763,0.0008442291],"category_scores_gemma":[0.003800491,0.0003279594,0.00007454229,0.001112874,0.001647001,0.004692272,0.0009456745,0.0007914932,0.0003282966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095158,"about_ca_system_score_gemma":0.005582453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1209916,"about_ca_topic_score_gemma":0.4555309,"domain_scores_codex":[0.9913901,0.006467936,0.0007882382,0.0004455571,0.0004198309,0.0004883374],"domain_scores_gemma":[0.9930122,0.001179193,0.000715471,0.003754908,0.001101389,0.000236822],"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":[0.00001352331,0.0005099349,0.02843406,0.0000303663,0.0001015147,4.463861e-7,0.2476796,0.00003319352,0.0004509284,0.6297295,0.04340994,0.04960696],"study_design_scores_gemma":[0.0003578759,0.0001311249,0.08375861,0.0002911153,0.000130841,0.00002221116,0.02911066,0.005785366,0.0003733049,0.1513029,0.7282161,0.0005199299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1340427,0.02001799,0.1458848,0.5433741,0.0005371716,0.001090212,0.0001684509,0.00074639,0.1541382],"genre_scores_gemma":[0.9227272,0.02545481,0.04287132,0.002326966,0.000417507,0.0000741232,0.001235037,0.00006337035,0.004829666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7886845,"threshold_uncertainty_score":0.9999173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169335235041611,"score_gpt":0.3921948669020435,"score_spread":0.2752613433978824,"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."}}