{"id":"W2346355161","doi":"","title":"Renforcer la création, la découverte et l’exportation de contenu canadien dans un monde numérique","year":2016,"lang":"fr","type":"article","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Exportation; Political science; Humanities; Art; Computer science","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":[0.003453341,0.0004734202,0.0004037055,0.001802672,0.005645992,0.01086054,0.0008150688,0.002396814,0.0198792],"category_scores_gemma":[0.008347746,0.0002605998,0.000393313,0.002359454,0.008796683,0.007030858,0.004912174,0.00259518,0.001323348],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00813129,"about_ca_system_score_gemma":0.006670556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05307165,"about_ca_topic_score_gemma":0.08787466,"domain_scores_codex":[0.9980341,0.000868508,0.00004504587,0.0002741081,0.0004132627,0.0003648622],"domain_scores_gemma":[0.9975974,0.001119565,0.0002662932,0.0002663361,0.0003988703,0.0003515392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000215697,0.0001163013,0.009045273,0.0002367118,0.00003240653,0.0006489854,0.07884354,0.0005876878,0.002065951,0.8322406,0.005152959,0.07081381],"study_design_scores_gemma":[0.00006924859,0.00009882521,0.02222711,0.000525374,0.00004055156,0.0005090369,0.07552198,0.0008554893,0.001704862,0.1076788,0.7906953,0.0000735209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4934356,0.008935559,0.008741162,0.02705181,0.000675293,0.00005508299,0.0001440183,0.00009011689,0.4608714],"genre_scores_gemma":[0.8598075,0.00256783,0.005940141,0.0006999894,0.0001539819,0.00006399492,0.00006026616,0.0001013141,0.130605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9918687,"threshold_uncertainty_score":0.1055255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08154747945460272,"score_gpt":0.2829418367570181,"score_spread":0.2013943573024153,"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."}}