{"id":"W1942942847","doi":"10.3917/sim.152.0089","title":"L’appropriation des réseaux socionumériques et les arts de l’encadrer : pour une prise en compte des rapports de force entre utilisateurs et dispositifs","year":2015,"lang":"fr","type":"article","venue":"Systèmes d information & management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Appropriation; Political science; Sociology; Art; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.007444239,0.0005672313,0.0004458946,0.003119062,0.005069167,0.01347977,0.001051471,0.002300374,0.01771389],"category_scores_gemma":[0.0185389,0.0004296071,0.0005346854,0.004022117,0.01274181,0.01815981,0.005299313,0.002976341,0.00319503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004857058,"about_ca_system_score_gemma":0.003804055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00742625,"about_ca_topic_score_gemma":0.01192155,"domain_scores_codex":[0.9877785,0.006793211,0.0005101645,0.00101621,0.003210932,0.0006908429],"domain_scores_gemma":[0.978716,0.01462058,0.00199749,0.002067863,0.001958275,0.000639801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009861073,0.00006026189,0.01240569,0.0009979297,0.00003502105,0.0005317442,0.5846273,0.0002075231,0.002978991,0.2721865,0.004517175,0.1213533],"study_design_scores_gemma":[0.00001716326,0.00009094,0.02988208,0.001500137,0.00003704344,0.0009515182,0.4109808,0.0005123907,0.002245785,0.05161266,0.5020547,0.000114777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3838539,0.009461767,0.05392307,0.02574961,0.0006323743,0.000253279,0.0004104972,0.000215096,0.5255004],"genre_scores_gemma":[0.9345016,0.003952729,0.01227268,0.001224146,0.0001787978,0.000340326,0.0001289396,0.0001587078,0.04724209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01771389,"threshold_uncertainty_score":0.05925894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350906983420947,"score_gpt":0.2983249737609086,"score_spread":0.2648159039266991,"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."}}