{"id":"W2921613218","doi":"10.14428/emulations.026.01","title":"Introduction. (Inter)national. Dialogues, tensions, réciprocités","year":2018,"lang":"fr","type":"article","venue":"Emulations - Revue de sciences sociales","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.002471482,0.0003132835,0.0003292305,0.0002816482,0.004529839,0.0004479591,0.0006508006,0.000375522,0.002189249],"category_scores_gemma":[0.003447277,0.0003327579,0.0002348666,0.001652174,0.01602997,0.001275991,0.00012227,0.0002877347,0.001308849],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004623757,"about_ca_system_score_gemma":0.00576976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008805135,"about_ca_topic_score_gemma":0.01707296,"domain_scores_codex":[0.9957091,0.0008760287,0.0007109156,0.0008050403,0.0009347425,0.0009641924],"domain_scores_gemma":[0.9966298,0.0005444818,0.0004081092,0.0002773743,0.001840963,0.0002992993],"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":[0.00000328798,0.000134277,0.006405631,0.00002354144,0.00004604174,0.000001564008,0.0466772,0.0006069539,0.0001782514,0.7697624,0.1751178,0.001043038],"study_design_scores_gemma":[0.000207682,0.00008440633,0.02112588,0.00008005323,0.00008660673,0.00002695471,0.01420027,0.005146107,0.00009060912,0.02780605,0.9306364,0.0005089777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1870875,0.003517635,0.004473002,0.6635825,0.0214484,0.001392544,0.0004294547,0.000504177,0.1175647],"genre_scores_gemma":[0.773414,0.0003166586,0.01122407,0.005368831,0.03804359,0.00003830213,0.0001236882,0.00003605207,0.1714348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7555186,"threshold_uncertainty_score":0.9999124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3619387234711823,"score_gpt":0.4443651745572387,"score_spread":0.0824264510860564,"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."}}