{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001969771,0.0001997459,0.0001871142,0.000169778,0.0002312485,0.004265775,0.0004517662,0.0001220103,0.0001336156],"category_scores_gemma":[0.0001238622,0.000162015,0.0001335336,0.00163531,0.000141608,0.00542372,0.000459048,0.0001675477,0.007140927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004899342,"about_ca_system_score_gemma":0.0002519686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000775388,"about_ca_topic_score_gemma":0.0002284018,"domain_scores_codex":[0.9981469,0.00005774197,0.0002263353,0.0004174787,0.0003000037,0.0008515732],"domain_scores_gemma":[0.9987319,0.00007189283,0.00006195455,0.0005273059,0.0002012439,0.0004057598],"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":[0.000001131165,0.00007794948,0.00007005293,0.00001898343,0.00002227871,0.0002185801,0.00102881,0.0000200446,0.0004013501,0.5305787,0.4292703,0.03829181],"study_design_scores_gemma":[0.0003076071,0.00007887762,0.003269611,0.00002760673,0.000004037909,0.0001658671,0.0001085344,0.01090305,0.0004655364,0.01786783,0.9665326,0.0002687724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07609084,0.002406435,0.002006305,0.3357646,0.005974795,0.0002366689,0.00003417777,0.0009752227,0.576511],"genre_scores_gemma":[0.5124109,0.00004836371,0.0004007168,0.00188346,0.0005428577,0.000003315771,0.00002610436,0.00001669828,0.4846676],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5372624,"threshold_uncertainty_score":0.9967679,"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."}}