{"id":"W6955915953","doi":"10.58079/u1vs","title":"LEST Séminaire - Invité : Léa Lima (Lise) le 4 juillet 2018","year":2018,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Government (linguistics); Natural (archaeology)","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":["sts","insufficient_payload"],"category_scores_codex":[0.00117588,0.0005949946,0.0006443698,0.0002300928,0.004264202,0.0005983516,0.0007836599,0.0005118814,0.03011759],"category_scores_gemma":[0.0004563615,0.0006560204,0.0003208634,0.001225638,0.003470195,0.01402509,0.0003446696,0.0004253759,0.02961963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133246,"about_ca_system_score_gemma":0.0006656363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003915688,"about_ca_topic_score_gemma":0.07309325,"domain_scores_codex":[0.9951378,0.0006957335,0.0009088819,0.001002923,0.00116342,0.001091257],"domain_scores_gemma":[0.9970552,0.0002413006,0.0005158144,0.0006468373,0.000960482,0.0005803358],"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":[0.00005202337,0.0003771708,0.000133913,0.00005261525,0.00008406812,0.00002211337,0.003306031,0.000006042036,0.00007554935,0.3923272,0.5897241,0.01383908],"study_design_scores_gemma":[0.001047232,0.0006174185,0.009439012,0.0003552143,0.000117417,0.00002242865,0.008583179,0.00009116285,0.0008009897,0.006136351,0.9719723,0.0008173218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009891698,0.004271565,0.0008937233,0.4500585,0.01728199,0.001129446,0.0007259154,0.0002917106,0.5154554],"genre_scores_gemma":[0.7546597,0.004696132,0.001103195,0.05970647,0.0136593,0.000331693,0.0008688053,0.00009336487,0.1648814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.744768,"threshold_uncertainty_score":0.9997652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163103393942008,"score_gpt":0.282857542415369,"score_spread":0.251226508475949,"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."}}