{"id":"W4288361476","doi":"","title":"Amazon : révolution dans la messagerie","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Amazon rainforest; Geography; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567185,0.0003563153,0.0003899052,0.00106783,0.003412544,0.01005355,0.0006093941,0.001879191,0.09817081],"category_scores_gemma":[0.006077185,0.0003068206,0.0002255597,0.002586943,0.003124594,0.005370607,0.002105592,0.003247808,0.01186988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006407769,"about_ca_system_score_gemma":0.004407627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07074371,"about_ca_topic_score_gemma":0.06549678,"domain_scores_codex":[0.9978181,0.0004769771,0.00007690666,0.0002589992,0.0009841294,0.0003848144],"domain_scores_gemma":[0.9978611,0.0007345856,0.0001733104,0.0003058598,0.0006004689,0.0003246339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004186214,0.00007022547,0.001467257,0.0004679044,0.00002444915,0.0008055173,0.01223957,0.0001444211,0.004338481,0.3661045,0.4745721,0.139347],"study_design_scores_gemma":[0.00001625353,0.000009469366,0.002131605,0.00004281327,0.000004731327,0.0001263764,0.001208845,0.0001269489,0.0004190337,0.004847419,0.9910548,0.00001172662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06657318,0.02420887,0.003160539,0.1668205,0.004941661,0.0001144945,0.002946691,0.001234103,0.7299999],"genre_scores_gemma":[0.4072692,0.007225747,0.002404511,0.007258101,0.002813849,0.00006867854,0.0007827979,0.001336237,0.5708408],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09817081,"threshold_uncertainty_score":0.3284141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0614112561373157,"score_gpt":0.2540237222771665,"score_spread":0.1926124661398508,"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."}}