{"id":"W1533641838","doi":"10.4000/hommesmigrations.1521","title":"Frontières territoriales et frontières symboliques","year":2012,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"CRÉ de Montréal","funders":"","keywords":"Computer science","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":[0.0008300957,0.0003462162,0.0002857184,0.001530004,0.002279512,0.003783351,0.0003630636,0.0007121532,0.01067509],"category_scores_gemma":[0.001554759,0.0001137748,0.0002486202,0.00254132,0.008434956,0.00220788,0.002167451,0.0009901918,0.0009032665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069692,"about_ca_system_score_gemma":0.001955449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01472103,"about_ca_topic_score_gemma":0.01823187,"domain_scores_codex":[0.9984078,0.0008402357,0.00005738514,0.0001996523,0.0002175484,0.0002774392],"domain_scores_gemma":[0.9992445,0.0002752324,0.0001764825,0.00009797078,0.0001184413,0.00008743235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001831057,0.000008009908,0.003304361,0.0001344252,0.00001009734,0.00007997578,0.01105249,0.0001768218,0.0003440357,0.9489792,0.005220291,0.03067192],"study_design_scores_gemma":[0.00001899028,0.00006448218,0.034862,0.0003321701,0.00002529232,0.0005835135,0.02281471,0.0003016249,0.0002465759,0.1352486,0.8054703,0.0000317152],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1236719,0.02252434,0.009213233,0.009067914,0.0005617017,0.00005315962,0.001169873,0.0000934989,0.8336444],"genre_scores_gemma":[0.9291921,0.008866154,0.004905425,0.0006132258,0.0002532767,0.0001256164,0.0006300739,0.0000392395,0.05537477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01472103,"threshold_uncertainty_score":0.03571177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624119375037208,"score_gpt":0.2963205807971027,"score_spread":0.2600793870467306,"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."}}