{"id":"W1965417329","doi":"10.1007/s11270-008-9737-5","title":"Our Hungry Planet","year":2008,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Environmental, Ecological, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Population; Development economics; Natural resource economics; Famine; World population; Poverty; Food prices; Refugee; Peak oil; Geography; Business; Food security; Climate change; Agricultural economics; Economic growth; Economics; Agriculture; Developing country; Ecology; Biology; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001318564,0.00008675402,0.000102983,0.00001327864,0.00122322,0.00001149483,0.00009958447,0.00008467448,0.0002356287],"category_scores_gemma":[0.000008883024,0.0000554006,0.0000406518,0.0000386492,0.0001927838,0.000137015,0.00004270496,0.00007179565,0.001322878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165047,"about_ca_system_score_gemma":0.000008889197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151041,"about_ca_topic_score_gemma":0.001795559,"domain_scores_codex":[0.9991117,0.00008069147,0.0001105468,0.0001569452,0.0002085305,0.0003316422],"domain_scores_gemma":[0.9998325,0.000004425764,0.00002418717,0.00006435157,0.000006859743,0.00006768553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001716328,0.001017826,0.1896631,0.000032864,0.0002687477,0.0002396967,0.1713195,0.001127846,0.02514608,0.004606006,0.5939465,0.01246021],"study_design_scores_gemma":[0.0004710027,0.0001395618,0.4385221,0.000007271136,0.00002402812,0.00001342579,0.01697843,0.000006280219,0.004068979,0.0009252105,0.5384598,0.0003839052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619097,0.0001308819,0.000003595979,0.006466965,0.0003049537,0.0001109158,0.000009570495,0.00009614593,0.03096725],"genre_scores_gemma":[0.9884973,0.0005329942,0.00002072307,0.0007471778,0.0003509332,0.00001249766,0.00002764135,0.000004072568,0.009806681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.248859,"threshold_uncertainty_score":0.9994547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169070234623338,"score_gpt":0.2528226494739488,"score_spread":0.2211319471277154,"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."}}