{"id":"W1586428747","doi":"10.7202/010250ar","title":"Croissance de la population mondiale et environnement : les enjeux","year":2004,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009874875,0.0005208079,0.0003264456,0.0002783245,0.0007024246,0.0001395432,0.0004701773,0.0006187802,0.001764743],"category_scores_gemma":[0.0001357544,0.0006225883,0.0002814172,0.0007801536,0.002782317,0.0005495002,0.000181431,0.0006995422,0.0003432935],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004036018,"about_ca_system_score_gemma":0.0001796327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.140163,"about_ca_topic_score_gemma":0.009607073,"domain_scores_codex":[0.9966594,0.0003916421,0.0004712333,0.0006897859,0.0004997426,0.001288198],"domain_scores_gemma":[0.9986409,0.0001396379,0.0002030538,0.0004703295,0.00000748879,0.0005385939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000114291,0.001299702,0.7276518,0.0002852068,0.0002397069,0.0005516513,0.02244546,0.05131094,0.008436186,0.07844178,0.01542669,0.09379659],"study_design_scores_gemma":[0.001301673,0.000134455,0.8188304,0.0001207427,0.0001048559,0.00009119134,0.004783732,0.00005129409,0.001657283,0.0319434,0.1401695,0.0008114217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626791,0.01123097,0.001686261,0.013943,0.0003043879,0.0004738191,0.00004356634,0.0001038955,0.009534954],"genre_scores_gemma":[0.9776677,0.009652711,0.006219759,0.00214324,0.0001679373,0.00009323769,0.00006844362,0.00008641792,0.003900556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1305559,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007094962658046836,"score_gpt":0.2343401183132493,"score_spread":0.2272451556552025,"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."}}