{"id":"W4386387514","doi":"10.4000/culturemusees.10140","title":"L’étude des prestataires dans les transformations des musées. L’exemple des offres numériques","year":2023,"lang":"fr","type":"article","venue":"Culture & Musées","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec; Université du Québec à Montréal; Musée de la Civilisation","funders":"","keywords":"Mathematics; Computer science","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":[0.005378478,0.0004696769,0.0004410877,0.002353748,0.008168274,0.01500838,0.001355667,0.002330273,0.01783508],"category_scores_gemma":[0.01434906,0.0003575921,0.0004774191,0.003534892,0.02637847,0.016391,0.009240898,0.004271529,0.001343166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006995612,"about_ca_system_score_gemma":0.006284649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477455,"about_ca_topic_score_gemma":0.02814311,"domain_scores_codex":[0.993844,0.003115478,0.0001786357,0.0008007135,0.001455188,0.0006059273],"domain_scores_gemma":[0.9931851,0.003365833,0.0009063505,0.001015448,0.0008460448,0.0006812582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004354846,0.00002334389,0.003399793,0.0002528909,0.00001362219,0.0003469586,0.1653126,0.0001937211,0.000829838,0.7886241,0.003857211,0.03710232],"study_design_scores_gemma":[0.00001931161,0.0000475838,0.01242302,0.001070336,0.00002245319,0.0007374012,0.1520897,0.0004335983,0.001174284,0.14047,0.6914515,0.00006070861],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.210114,0.01467522,0.03705516,0.04279778,0.001181883,0.0001311805,0.0003031943,0.0001578152,0.6935838],"genre_scores_gemma":[0.93042,0.005147325,0.00882,0.001708342,0.0004122335,0.0001476107,0.00009706849,0.0002390798,0.05300825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01783508,"threshold_uncertainty_score":0.05966431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2269573454920656,"score_gpt":0.3290113166830958,"score_spread":0.1020539711910302,"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."}}