{"id":"W4384212296","doi":"10.7202/1098389ar","title":"Habiter le trouble","year":2023,"lang":"fr","type":"article","venue":"Sens public","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Computer graphics (images); Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002446419,0.000818403,0.0005925227,0.001483419,0.008508813,0.01309488,0.001456502,0.004373408,0.05562902],"category_scores_gemma":[0.009586001,0.0004243329,0.0005035551,0.001224616,0.01505543,0.01691468,0.01088613,0.005862587,0.01928311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002897377,"about_ca_system_score_gemma":0.002706948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007560583,"about_ca_topic_score_gemma":0.00808275,"domain_scores_codex":[0.9966804,0.001046954,0.00009028624,0.000730988,0.0009572926,0.0004939827],"domain_scores_gemma":[0.9969241,0.0006967676,0.0003608566,0.0006180477,0.0007673037,0.0006330181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001413296,0.0001383243,0.005303886,0.0002500278,0.00004627861,0.002437694,0.117262,0.0002742764,0.002352515,0.466544,0.2317474,0.1735022],"study_design_scores_gemma":[0.00000853964,0.00002642871,0.0006978707,0.0002117597,0.000009216722,0.000991932,0.03878852,0.0001708435,0.0002930078,0.03944742,0.9193281,0.00002627739],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06603242,0.009642282,0.02074056,0.1666215,0.006991207,0.00007278004,0.0002415467,0.0009590887,0.7286986],"genre_scores_gemma":[0.4282711,0.006619416,0.007220946,0.02608186,0.002234045,0.00008033437,0.0002079711,0.001277189,0.5280072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05562902,"threshold_uncertainty_score":0.1860976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.368210078410525,"score_gpt":0.3121377799546545,"score_spread":0.05607229845587047,"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."}}