{"id":"W6917909717","doi":"10.58079/p7r5","title":"LE MARCHÉ GLOBAL DES VÉHICULES D’OCCASION : FLUX NORD-SUD (II)","year":2022,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flux (metallurgy); Field (mathematics); Work (physics); Noise (video)","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":[0.0001937088,0.0002011284,0.0001319879,0.0009287742,0.00112971,0.001597551,0.0001616436,0.0004030287,0.003857602],"category_scores_gemma":[0.0003244086,0.0001002535,0.0001224753,0.002428526,0.0006518731,0.0008776463,0.000816064,0.0003873751,0.0002815371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003067762,"about_ca_system_score_gemma":0.002489238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2424932,"about_ca_topic_score_gemma":0.3811282,"domain_scores_codex":[0.9999342,0.00000825687,0.000003017121,0.00001082121,0.00001256271,0.00003121321],"domain_scores_gemma":[0.999831,0.00001770612,0.00006157852,0.000005467469,0.00004659473,0.00003758645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004072469,0.00008402482,0.6350361,0.001032346,0.0001146588,0.004191979,0.07794402,0.001915359,0.004630174,0.04784958,0.04508516,0.1817093],"study_design_scores_gemma":[0.0000140112,0.00006721223,0.7058402,0.0002960454,0.00002977358,0.0004315469,0.05584778,0.0004184467,0.0005891811,0.001603111,0.2348387,0.00002401278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.956691,0.00386456,0.0002809303,0.004063135,0.0001430089,0.00001949198,0.002108723,0.00002627327,0.032803],"genre_scores_gemma":[0.9729133,0.003370724,0.0005010054,0.0002534559,0.00003696898,0.00001860717,0.0005839639,0.00001214563,0.02230986],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2424932,"threshold_uncertainty_score":0.4821635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157374896635099,"score_gpt":0.2813065811330421,"score_spread":0.2397328321666911,"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."}}