{"id":"W6996008608","doi":"","title":"A Qui Profitera la « Fenêtre Démographique » des\\nPays du Maghreb?","year":2009,"lang":"en","type":"article","venue":"Bioline International (Bioline International)","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Competition (biology); Key (lock); Developed country; Phase (matter)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007283568,0.0001761407,0.0001764303,0.001221406,0.001522508,0.002062734,0.0003386802,0.0007072988,0.01963507],"category_scores_gemma":[0.00174276,0.0001071243,0.0001421014,0.0008255037,0.001199304,0.00200275,0.0009588357,0.001001954,0.002780663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403987,"about_ca_system_score_gemma":0.002934462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0847625,"about_ca_topic_score_gemma":0.1421281,"domain_scores_codex":[0.9997446,0.0001072312,0.000005435861,0.00003645859,0.00003141044,0.00007478205],"domain_scores_gemma":[0.9995798,0.00008763061,0.00008879007,0.000045951,0.0001049078,0.0000928931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002276098,0.00009288438,0.1253379,0.0006437096,0.00005643494,0.0006689292,0.03553681,0.0006850949,0.004830442,0.2885901,0.1054864,0.4378436],"study_design_scores_gemma":[0.000005498295,0.00003466297,0.1093623,0.0002889435,0.00001448631,0.0003435004,0.02195228,0.0002421197,0.0008394002,0.01047987,0.8564056,0.00003140316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3940526,0.03820629,0.0103948,0.1463736,0.001932647,0.0001456657,0.004651879,0.0002730367,0.4039694],"genre_scores_gemma":[0.8559618,0.01656446,0.007336882,0.003293289,0.0004905163,0.00006919853,0.000953076,0.00007027612,0.1152605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0847625,"threshold_uncertainty_score":0.1685383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00624622212744077,"score_gpt":0.2470872978916443,"score_spread":0.2408410757642035,"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."}}