{"id":"W1995596338","doi":"10.4000/ocim.719","title":"L’identification radiofréquence au service de l’analyse du parcours muséal des visiteurs","year":2007,"lang":"fr","type":"article","venue":"La Lettre de l’OCIM","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Art","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":[0.002606442,0.00068621,0.0004278908,0.003564734,0.001582317,0.002730589,0.0009414604,0.001021991,0.01111437],"category_scores_gemma":[0.00823484,0.0002988401,0.0006832663,0.003364584,0.001377757,0.001456544,0.001180256,0.0008733019,0.003743789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196958,"about_ca_system_score_gemma":0.001173743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02836595,"about_ca_topic_score_gemma":0.03523424,"domain_scores_codex":[0.9961405,0.001256999,0.0001178179,0.0005566277,0.001581088,0.0003469528],"domain_scores_gemma":[0.9947239,0.001804658,0.0005557928,0.000585884,0.002138946,0.0001908736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009602339,0.0001294666,0.1350372,0.002252729,0.0003654488,0.002055798,0.04397634,0.004648607,0.1392705,0.01544849,0.01100679,0.6448483],"study_design_scores_gemma":[0.00004113316,0.0005563255,0.4920396,0.0008227665,0.0002359446,0.006782379,0.03969824,0.007599483,0.0809518,0.003215931,0.367687,0.0003695158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.707,0.006053759,0.1383216,0.001709785,0.0006232231,0.0003242231,0.002280475,0.000823895,0.1428631],"genre_scores_gemma":[0.8692277,0.002634637,0.05679471,0.0003073745,0.0002347637,0.000326027,0.001075794,0.0002485212,0.06915046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02836595,"threshold_uncertainty_score":0.05640167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03265472984362086,"score_gpt":0.262748303193502,"score_spread":0.2300935733498811,"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."}}