{"id":"W2790841430","doi":"10.30634/2414-2077.2015.01.4","title":"Agriculture, the World Population, Global Climate Change and Natural Resources in the Context of Increased Food Insecurity: A Romanian Academic Approach","year":2018,"lang":"en","type":"article","venue":"International Journal of Green Technology","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Food insecurity; Romanian; Agriculture; Context (archaeology); Natural resource; Climate change; Food security; Population; Natural resource economics; Natural (archaeology); Geography; Business; Environmental resource management; Economic growth; Political science; Economics; Ecology; Sociology; Biology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002031754,0.0003917052,0.0005053323,0.002500962,0.001887202,0.003388435,0.0006947778,0.001217307,0.002765648],"category_scores_gemma":[0.002126179,0.0001821845,0.0003195574,0.003594684,0.005505485,0.002077124,0.002275892,0.001988751,0.0001169064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771411,"about_ca_system_score_gemma":0.002720675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005108061,"about_ca_topic_score_gemma":0.006369751,"domain_scores_codex":[0.9992143,0.0005531053,0.00003477883,0.00005763061,0.0000512477,0.00008898796],"domain_scores_gemma":[0.9989593,0.0007199533,0.000129304,0.00003541731,0.00006739548,0.00008859687],"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":[0.00005805083,0.0001404062,0.02111773,0.0004299951,0.00007303042,0.0009430918,0.01293148,0.003048395,0.0002272155,0.9097733,0.004573842,0.04668339],"study_design_scores_gemma":[0.00003130114,0.0002362965,0.07721784,0.002764235,0.0001393526,0.001761539,0.1001019,0.01545741,0.0004380596,0.5694628,0.2323003,0.00008900935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4046288,0.1621829,0.0156823,0.1320864,0.001935728,0.00006256687,0.000295638,0.00002927641,0.2830965],"genre_scores_gemma":[0.9620369,0.03057682,0.002221064,0.001512651,0.0007852181,0.00003356859,0.00003806016,0.000009543966,0.002786148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005108061,"threshold_uncertainty_score":0.02010804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664538246165339,"score_gpt":0.248495906079909,"score_spread":0.2318505236182556,"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."}}