{"id":"W4242648215","doi":"10.4000/ctd.687","title":"Introduction","year":2017,"lang":"fr","type":"article","venue":"Communication technologies et développement","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001494059,0.0001920977,0.0002129545,0.0001013248,0.003243268,0.0004579775,0.002917917,0.0003744375,0.0006338209],"category_scores_gemma":[0.001135492,0.0002027588,0.00006506829,0.0001739657,0.002713308,0.0006641567,0.001514123,0.0005222486,0.0006309637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069574,"about_ca_system_score_gemma":0.0001517823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004609812,"about_ca_topic_score_gemma":0.00101536,"domain_scores_codex":[0.9983549,0.0002635478,0.0003360203,0.0003199419,0.0003325048,0.0003931146],"domain_scores_gemma":[0.9957486,0.00006746916,0.0005503902,0.003360733,0.0002230905,0.00004969632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004668578,0.00007902029,0.0005671855,0.00001691992,0.00003139933,6.905117e-7,0.002374219,0.000001935055,0.00007230675,0.5802537,0.03908473,0.3775133],"study_design_scores_gemma":[0.0002474293,0.00004201858,0.003093545,0.0001079304,0.00002552486,0.000001691518,0.006224991,0.00003886447,0.001480645,0.03779678,0.9507122,0.0002283616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003561426,0.01766553,0.0007263047,0.877555,0.00200567,0.0003590188,0.000006298202,0.0005714021,0.09754932],"genre_scores_gemma":[0.7643315,0.1291342,0.01135995,0.0003152486,0.0003533993,0.0001135521,0.00002968313,0.00002397644,0.09433847],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9116275,"threshold_uncertainty_score":0.9997295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08399454697430311,"score_gpt":0.3685564011744328,"score_spread":0.2845618542001297,"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."}}