{"id":"W1587583527","doi":"10.7202/803044ar","title":"« Malthus in, Malthus out? »","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Economics; Investment (military); Population; Neglect; Capital (architecture); Physical capital; Constant (computer programming); Population growth; Neoclassical economics; Econometrics; Mathematical economics; Human capital; Market economy; Computer science; Sociology; Geography; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002448063,0.0007444705,0.0009612408,0.001197111,0.001115751,0.00537425,0.001103313,0.001880097,0.006533834],"category_scores_gemma":[0.008454017,0.0002858014,0.0008959345,0.001609333,0.004913808,0.007866395,0.002742582,0.003223374,0.000835405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069079,"about_ca_system_score_gemma":0.001419645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041078,"about_ca_topic_score_gemma":0.005380746,"domain_scores_codex":[0.9984168,0.0008478912,0.00004745376,0.0002339934,0.000257393,0.000196397],"domain_scores_gemma":[0.9973384,0.001614527,0.0003702597,0.0003155663,0.0002114091,0.0001498936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001341214,0.0000161001,0.001436007,0.00006975193,0.00005610817,0.0001097538,0.0006635883,0.00511685,0.00004758751,0.979756,0.005963238,0.006751591],"study_design_scores_gemma":[0.000007290549,0.00001489279,0.0006762829,0.0000687206,0.00001553196,0.0001032021,0.0007799935,0.01605851,0.00006607926,0.9547494,0.02743696,0.00002310519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1293793,0.02713498,0.3373874,0.2409718,0.002590992,0.0001587409,0.0009669662,0.0005356508,0.2608741],"genre_scores_gemma":[0.9506955,0.01162219,0.01375805,0.006129686,0.0009498506,0.0000954835,0.0001783241,0.0001138061,0.01645713],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01041078,"threshold_uncertainty_score":0.02185786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465151874498069,"score_gpt":0.2893200098695022,"score_spread":0.2546684911245215,"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."}}