{"id":"W1993035349","doi":"10.4000/communication.2709","title":"Diversifier les figures du public : l’appropriation du patrimoine culturel sur le Web","year":2012,"lang":"fr","type":"article","venue":"Communication","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Appropriation; Art; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004745263,0.0002197822,0.0001847577,0.00007247699,0.0007286038,0.001290823,0.001052224,0.0002019142,0.0001234882],"category_scores_gemma":[0.0004305573,0.000179494,0.0001211785,0.0004374163,0.000178049,0.009065398,0.0008665608,0.0002673665,0.0002652197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433302,"about_ca_system_score_gemma":0.0001445216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002760092,"about_ca_topic_score_gemma":0.0004126237,"domain_scores_codex":[0.9984369,0.0003202998,0.0003133883,0.0002222878,0.0002765414,0.0004305988],"domain_scores_gemma":[0.9976883,0.0001582348,0.0002684508,0.001082853,0.0005384201,0.0002637327],"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":[0.00001368718,0.001305707,0.01090415,0.0000719726,0.00007193875,0.000002509367,0.01235249,0.00004996153,0.001251995,0.5015765,0.3303966,0.1420025],"study_design_scores_gemma":[0.0005080004,0.00005303719,0.03598814,0.00008480262,0.0000282389,0.00004288083,0.0003986883,0.0103135,0.0006646229,0.002657074,0.9489228,0.0003382413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1894874,0.2444031,0.01789938,0.2833512,0.003160038,0.0009844697,0.00006894555,0.0005677065,0.2600778],"genre_scores_gemma":[0.9796183,0.006822918,0.001893702,0.00045414,0.0004068758,0.00001148806,0.0001704509,0.00001318297,0.01060897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7901309,"threshold_uncertainty_score":0.9997459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2346840774800415,"score_gpt":0.2781425968598925,"score_spread":0.04345851937985101,"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."}}