{"id":"W3159157934","doi":"10.3917/lp.405.0061","title":"Partenariat Russie-Chine : une « amitié pragmatique »","year":2021,"lang":"fr","type":"article","venue":"La Pensée","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Humanities; Political science; Alliance; Art","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":[0.001938687,0.0002805224,0.0003181393,0.0005393557,0.004101415,0.005184423,0.0007859123,0.001592388,0.004195855],"category_scores_gemma":[0.001613093,0.0001404347,0.0003549679,0.0008388746,0.004083456,0.002143719,0.002190679,0.00253298,0.000424571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008575563,"about_ca_system_score_gemma":0.01300988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08611984,"about_ca_topic_score_gemma":0.1490033,"domain_scores_codex":[0.9988694,0.0005298469,0.00003075796,0.0001548387,0.0001961027,0.0002190752],"domain_scores_gemma":[0.999365,0.0001851094,0.0000923066,0.00007793519,0.0001402784,0.0001393751],"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":[0.0001575958,0.00004286965,0.0117322,0.0003052971,0.00007393344,0.001289284,0.08979997,0.0009868628,0.004718554,0.8161396,0.01342382,0.0613299],"study_design_scores_gemma":[0.00002047161,0.0001668229,0.045257,0.0005781641,0.00006058082,0.0004330657,0.07048874,0.001003139,0.002203143,0.06221611,0.8174868,0.00008598913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5291086,0.02840602,0.007025682,0.1109815,0.001777899,0.00008061957,0.0002035854,0.0001284634,0.3222876],"genre_scores_gemma":[0.9418634,0.004132138,0.0008524912,0.001928666,0.0001405941,0.00003143263,0.00004708456,0.0000339062,0.0509703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08611984,"threshold_uncertainty_score":0.1712371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213571030304584,"score_gpt":0.3144633397778944,"score_spread":0.2923276294748486,"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."}}