{"id":"W2520180505","doi":"10.7202/1052778ar","title":"Le système vidéotex canadien Télidon","year":2018,"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 de Montréal","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001382454,0.0006571067,0.0007204628,0.001596372,0.00121469,0.003952052,0.00111497,0.00128102,0.03759283],"category_scores_gemma":[0.005229147,0.0003719775,0.0004096727,0.001787775,0.0008080032,0.003972053,0.001774915,0.0012051,0.01058572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977622,"about_ca_system_score_gemma":0.002864424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424092,"about_ca_topic_score_gemma":0.01385574,"domain_scores_codex":[0.9986424,0.000176036,0.00008665396,0.0003245502,0.0006464425,0.0001239748],"domain_scores_gemma":[0.9977453,0.0006295705,0.00008127019,0.0005686659,0.0007370306,0.0002380897],"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":[0.003654498,0.0006178427,0.01137218,0.002251694,0.0002359412,0.002124913,0.006771621,0.01143087,0.06495278,0.0635322,0.1674841,0.6655715],"study_design_scores_gemma":[0.0003865183,0.0004648582,0.008253856,0.0003381275,0.0001611124,0.001197296,0.001606264,0.02966166,0.03534665,0.006986893,0.9154345,0.0001623568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3031192,0.007126804,0.1429641,0.004861027,0.001393056,0.001678021,0.01147682,0.1053862,0.4219948],"genre_scores_gemma":[0.6095943,0.003550036,0.1090475,0.001064499,0.0002965424,0.00068346,0.02143718,0.005197517,0.249129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.996048,"threshold_uncertainty_score":0.1257606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074810261848419,"score_gpt":0.3430812294381624,"score_spread":0.2356002032533205,"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."}}