{"id":"W2966284221","doi":"10.4000/hommesmigrations.9406","title":"Les bonnes clôtures font-elles les bons voisins ?","year":2019,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Font; 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":["insufficient_payload"],"category_scores_codex":[0.0002808745,0.0003488477,0.0004533557,0.0001065763,0.002392105,0.0002505315,0.0003860277,0.0003804856,0.002247427],"category_scores_gemma":[0.0002343173,0.0003451262,0.0003911522,0.000614128,0.001139381,0.0003796715,0.0001051763,0.0003564864,0.0008868893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891543,"about_ca_system_score_gemma":0.0002078589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08686239,"about_ca_topic_score_gemma":0.3289049,"domain_scores_codex":[0.9976166,0.0003292099,0.0004163884,0.0004435571,0.0004799515,0.000714301],"domain_scores_gemma":[0.9985838,0.0005384596,0.000182096,0.0003130955,0.0001913544,0.0001912145],"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":[0.000004518629,0.0002446081,0.0158474,0.00003892088,0.000148182,0.000003726989,0.04141014,0.00002872795,0.00005356458,0.398839,0.4844489,0.05893227],"study_design_scores_gemma":[0.0002384605,0.00008469881,0.03056404,0.0001016844,0.000116824,0.000001192347,0.04316253,0.00005400944,0.00003107628,0.008058862,0.9171907,0.0003958859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1562649,0.6340469,0.0002203298,0.04854921,0.004135758,0.0006607043,0.0002502499,0.0002134146,0.1556585],"genre_scores_gemma":[0.7463679,0.007769925,0.000418392,0.0003516745,0.001331657,0.00004404501,0.00003413904,0.00002787559,0.2436544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6262769,"threshold_uncertainty_score":0.9999001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358404331696816,"score_gpt":0.2884118543088923,"score_spread":0.2448278109919241,"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."}}