{"id":"W7010767023","doi":"","title":"Introduction. Histoire, constantes et transformations rÃ©centes des dynamiques migratoires en Roumanie","year":2014,"lang":"fr","type":"other","venue":"reroDoc Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Latin Americans; Western europe; Urban environment","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"category_scores_codex":[0.000321662,0.001861009,0.00162638,0.001315958,0.0006281377,0.003288513,0.00131104,0.0008631513,0.0235664],"category_scores_gemma":[0.0005881165,0.00188868,0.0008759831,0.00114199,0.003532639,0.01423728,0.0003629054,0.001134291,0.02749734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006915489,"about_ca_system_score_gemma":0.000697939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005391678,"about_ca_topic_score_gemma":0.0001490739,"domain_scores_codex":[0.9935318,0.0008919219,0.001765319,0.001597129,0.0007860443,0.001427789],"domain_scores_gemma":[0.9959533,0.0008917487,0.0008908223,0.001423762,0.0001660009,0.0006743707],"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":[0.0001949082,0.001012761,0.00382321,0.001506972,0.0007908567,0.00005494857,0.001194958,0.00008481045,0.000253442,0.2253829,0.7208108,0.04488941],"study_design_scores_gemma":[0.0008147147,0.0003540537,0.001042911,0.002646442,0.0002470741,0.0003321321,0.0004912199,0.000363934,0.0007183385,0.009946517,0.9811654,0.001877274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003557057,0.0407316,0.002654528,0.007574503,0.001564077,0.001674889,0.02520827,0.003660732,0.9133744],"genre_scores_gemma":[0.04342521,0.006084681,0.007115065,0.0006560874,0.003178236,0.0002000298,0.02058371,0.00354768,0.9152093],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2603546,"threshold_uncertainty_score":0.9995501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005427884969138499,"score_gpt":0.1949986668744838,"score_spread":0.1895707819053453,"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."}}