{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002931172,0.0003847305,0.0002422416,0.0003261655,0.00009337191,0.0001438148,0.001109225,0.0004759475,0.0002222237],"category_scores_gemma":[0.000269813,0.0003520296,0.0002792522,0.0001953933,0.0002329127,0.00002188421,0.000301368,0.0002702886,0.00005795876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000691009,"about_ca_system_score_gemma":0.00009692783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005584939,"about_ca_topic_score_gemma":0.00007759552,"domain_scores_codex":[0.997937,0.0000702801,0.0006011697,0.000703377,0.0003171516,0.0003710458],"domain_scores_gemma":[0.9985281,0.00002500895,0.0002509745,0.0004126884,0.0006466872,0.0001365182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005747766,0.0006485583,0.01623636,0.000009165417,0.0003828284,0.00004514926,0.00004937973,0.00004879135,0.9344289,0.009759358,0.008679826,0.02913687],"study_design_scores_gemma":[0.002088004,0.0006418345,0.02926765,0.00008294323,0.0000323416,0.0004492795,0.00004993827,0.0008676418,0.1947979,0.003821451,0.7671692,0.0007317404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677037,0.0004107072,0.002770463,0.01532114,0.001948194,0.0003429367,0.0004070626,0.0001262985,0.01096951],"genre_scores_gemma":[0.9843172,0.001794852,0.00462294,0.001885095,0.003340239,0.00003729836,0.002077469,0.00004006687,0.001884801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7584894,"threshold_uncertainty_score":0.9998932,"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."}}