{"id":"W2530332469","doi":"","title":"Communications et consommation [ressource électronique] : FRA-P102-4 : un choix éclairé : module 3","year":2011,"lang":"fr","type":"article","venue":"","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; European commission; Art; Business; European union","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006274872,0.001029009,0.0005443603,0.001839436,0.001629421,0.005035744,0.00169566,0.002527241,0.08687351],"category_scores_gemma":[0.01083055,0.0006302164,0.0009395754,0.001258741,0.0008412973,0.003804693,0.002224903,0.001295776,0.05316837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934852,"about_ca_system_score_gemma":0.005139436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064439,"about_ca_topic_score_gemma":0.006960275,"domain_scores_codex":[0.9970944,0.0008243517,0.0002544191,0.0002887417,0.001209652,0.0003284641],"domain_scores_gemma":[0.9914843,0.001852304,0.000314399,0.001193532,0.004702674,0.0004526651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004168194,0.0004279031,0.002698449,0.0014483,0.00004531592,0.0003065593,0.004527431,0.002167731,0.02350648,0.02330598,0.304817,0.6363319],"study_design_scores_gemma":[0.00003583452,0.000122295,0.002994942,0.0003341802,0.00002108502,0.0002022274,0.0003655897,0.001192119,0.01215295,0.002249448,0.9802714,0.00005785779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0454427,0.002652078,0.4455195,0.01400632,0.005590299,0.007010862,0.01237077,0.04235968,0.4250477],"genre_scores_gemma":[0.07800101,0.002908781,0.2152889,0.002444518,0.00136132,0.004040423,0.01357131,0.01269724,0.6696865],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08687351,"threshold_uncertainty_score":0.2906208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06485805829064384,"score_gpt":0.2592056330525704,"score_spread":0.1943475747619265,"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."}}