{"id":"W2790029672","doi":"10.3917/mouv.093.0081","title":"Tactiques de la mobilité migratoire. S’affranchir du « vrai » et du « faux »","year":2018,"lang":"fr","type":"article","venue":"Mouvements","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002133375,0.0002256581,0.0002600454,0.00008678344,0.001259408,0.000251887,0.0003688772,0.0002743632,0.002474676],"category_scores_gemma":[0.0002150629,0.0002455646,0.0001216553,0.0003831788,0.0009081729,0.000601605,0.00008630753,0.0002273939,0.0005351345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004302981,"about_ca_system_score_gemma":0.0006063348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06131333,"about_ca_topic_score_gemma":0.1220517,"domain_scores_codex":[0.9970353,0.0009717264,0.0004081169,0.0004034771,0.0005304936,0.0006509052],"domain_scores_gemma":[0.998827,0.0001484799,0.00019594,0.0002791898,0.0002439018,0.0003054397],"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":[0.00002277238,0.0007276881,0.5612739,0.0001206645,0.00006582173,0.000008543834,0.1027366,0.000003141929,0.0001524922,0.05039343,0.2803963,0.004098611],"study_design_scores_gemma":[0.000554296,0.0002599715,0.2232102,0.00009596732,0.00005302485,0.000002874857,0.005949719,0.0002375873,0.0003934622,0.02201305,0.7469208,0.0003091522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945998,0.001612592,0.0006102572,0.01009322,0.00270404,0.0004240785,0.00004956634,0.0001038795,0.03840436],"genre_scores_gemma":[0.9674255,0.008185339,0.0004807174,0.004464844,0.002544116,0.00004393373,0.00001952667,0.00002791485,0.01680808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4665245,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797871488512495,"score_gpt":0.3403570127138295,"score_spread":0.3223782978287046,"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."}}