{"id":"W1003817786","doi":"10.7202/1028932ar","title":"Les dispositifs mobiles de lecture/écriture et les compétences informationnelles en contexte universitaire","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003448451,0.0004132722,0.0005437495,0.003961721,0.002775845,0.01401275,0.0007263623,0.001285735,0.02989244],"category_scores_gemma":[0.01244049,0.0003495232,0.0004340916,0.004488623,0.002544869,0.00692461,0.004185862,0.001343866,0.004212589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004318172,"about_ca_system_score_gemma":0.004595597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009515454,"about_ca_topic_score_gemma":0.01206773,"domain_scores_codex":[0.9947612,0.002096111,0.0003668545,0.0006083628,0.001586921,0.0005805545],"domain_scores_gemma":[0.9881783,0.005855725,0.001533212,0.0008322171,0.001822696,0.001777933],"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":[0.0003481616,0.0004593196,0.07012901,0.003126455,0.0001097976,0.001761351,0.1512261,0.00104452,0.007241665,0.1569475,0.01301947,0.5945867],"study_design_scores_gemma":[0.00005209535,0.0003923499,0.1422978,0.003082091,0.0001490615,0.002538646,0.1504484,0.001571562,0.005364357,0.02201107,0.6719035,0.0001890601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4997658,0.02439485,0.03071406,0.01511483,0.0005944198,0.0002039334,0.0007067159,0.0007254228,0.42778],"genre_scores_gemma":[0.9328154,0.009290417,0.01087399,0.0005469007,0.0002905604,0.0001022016,0.00026223,0.0001267104,0.04569163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9859872,"threshold_uncertainty_score":0.1000002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09505679667907005,"score_gpt":0.3446500732900601,"score_spread":0.24959327661099,"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."}}