{"id":"W4406172020","doi":"10.7202/1115129ar","title":"Culture et algorithmes : découvrabilité des contenus francophones","year":2024,"lang":"fr","type":"article","venue":"Lex Electronica","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002918435,0.0004404384,0.0003687878,0.00007082441,0.0002813419,0.003659932,0.0006048479,0.0002541793,0.0002648881],"category_scores_gemma":[0.0001792913,0.0003136786,0.0003106019,0.0009365365,0.000410731,0.003863311,0.00022282,0.0008569855,0.000974674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828189,"about_ca_system_score_gemma":0.0006966154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309316,"about_ca_topic_score_gemma":0.0007025324,"domain_scores_codex":[0.9971974,0.000163296,0.0003692992,0.0007966033,0.0003487226,0.001124651],"domain_scores_gemma":[0.9986012,0.0002210887,0.00005533351,0.0005143312,0.000291018,0.0003170555],"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":[0.00001381756,0.0001638098,0.000009033539,0.00022695,0.0001546434,0.0002723699,0.01000202,0.00005224078,0.004952251,0.5840247,0.2029308,0.1971973],"study_design_scores_gemma":[0.0002127412,0.0006701612,0.0003141524,0.0004027693,0.00003327575,0.0005512424,0.0001034421,0.007733877,0.002534364,0.1413566,0.8456278,0.0004595688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008007668,0.72406,0.0344055,0.03813741,0.01468602,0.0005557949,0.00007943079,0.001032907,0.1790353],"genre_scores_gemma":[0.6394261,0.008233424,0.005308271,0.004722325,0.002260762,0.0000337732,0.00002555769,0.00006367304,0.3399261],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7158266,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1463557485974128,"score_gpt":0.3298532398646526,"score_spread":0.1834974912672397,"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."}}