{"id":"W1843394062","doi":"10.4000/framespa.3362","title":"Mémoire et sources de l'immigration en Lot-et-Garonne","year":2015,"lang":"fr","type":"article","venue":"Les Cahiers de Framespa","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007746358,0.0004001262,0.0002627852,0.002754147,0.003514308,0.003531576,0.000499289,0.0007861707,0.02831609],"category_scores_gemma":[0.002290379,0.0003013234,0.0001964957,0.004605611,0.000917165,0.001130056,0.002852057,0.001154214,0.003859164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003986872,"about_ca_system_score_gemma":0.00298033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09889624,"about_ca_topic_score_gemma":0.1954523,"domain_scores_codex":[0.9995478,0.00009106002,0.0000450797,0.00006634298,0.000176499,0.0000732938],"domain_scores_gemma":[0.9993839,0.0002463037,0.0001075554,0.00004827977,0.0001230842,0.00009080299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000362753,0.00006347067,0.03451819,0.002058289,0.00006911479,0.005187581,0.3433666,0.0006401148,0.003375338,0.1280161,0.1754715,0.306871],"study_design_scores_gemma":[0.000005956061,0.00001253942,0.02753723,0.0004400736,0.000007360423,0.0003079764,0.01239298,0.00005080223,0.0003862054,0.0005490503,0.9582942,0.00001578344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3619569,0.03624295,0.002547119,0.01222306,0.003414633,0.0001345677,0.01211945,0.0004709643,0.5708904],"genre_scores_gemma":[0.3822635,0.0220796,0.001933055,0.0008983827,0.0006654569,0.0001382938,0.005187012,0.000428649,0.5864061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09889624,"threshold_uncertainty_score":0.1966412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07251690817464616,"score_gpt":0.3765353378077201,"score_spread":0.304018429633074,"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."}}