{"id":"W2418235866","doi":"10.19044/esj.2016.v12n15p143","title":"Etude De L’impact De La Consanguinité Sur La Santé Des Descendants Dans La Population De Tiflet (Maroc)","year":2016,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Consanguinity; Demography; Abortion; Geography; Population; Incidence (geometry); Medicine; Pregnancy; Pediatrics; Biology; Sociology; Genetics","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":[0.0008640931,0.0002007877,0.0001399056,0.001147795,0.0004026543,0.0004601995,0.0002616255,0.0002785255,0.001435508],"category_scores_gemma":[0.001688202,0.0001249757,0.0003289842,0.0009584547,0.0003613781,0.000310472,0.0003129623,0.000337,0.0001064131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007495975,"about_ca_system_score_gemma":0.0004249604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0533334,"about_ca_topic_score_gemma":0.05784215,"domain_scores_codex":[0.9994672,0.0002313808,0.00003029273,0.00006820272,0.00009782846,0.0001051799],"domain_scores_gemma":[0.9992341,0.0002719175,0.0002529679,0.00004375019,0.00009612874,0.0001011252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003420929,0.00001855641,0.9966546,0.000007014222,0.00003313342,0.0001505457,0.0004204554,0.00003727299,0.0002607456,0.00003557085,0.00002974971,0.002318121],"study_design_scores_gemma":[7.128477e-7,0.00003472943,0.9994189,0.000002885478,0.000007681843,0.000087678,0.0002183433,0.00006815404,0.00002904807,0.000005263385,0.0001253449,0.000001274844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993833,0.0002111217,0.00003641213,0.00002710137,0.000002724822,0.000002136432,0.00008038245,6.088697e-7,0.0002561575],"genre_scores_gemma":[0.9996198,0.0001063616,0.0000454361,0.000007280794,0.000003545744,0.000002368243,0.0000678533,4.138204e-7,0.0001467585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0533334,"threshold_uncertainty_score":0.106046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097372132501816,"score_gpt":0.2992213529559387,"score_spread":0.2882476316309205,"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."}}