{"id":"W4230579198","doi":"10.1017/cbo9781316459812","title":"State Food Crimes","year":2016,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Human Rights and Development","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Right to food; Human rights; Political science; Sanctions; Starvation; State (computer science); Democracy; Politics; China; Food security; Law; Development economics; Geography; Economics; Agriculture; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004415342,0.0004859429,0.0002699032,0.000593741,0.004234956,0.005110143,0.0005963163,0.003018721,0.02771262],"category_scores_gemma":[0.001493648,0.0003013547,0.0003816159,0.0009598845,0.00328092,0.003491885,0.002691242,0.003718588,0.006672597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911887,"about_ca_system_score_gemma":0.002376093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006059173,"about_ca_topic_score_gemma":0.01249425,"domain_scores_codex":[0.9994045,0.0001359576,0.00002094626,0.00009002573,0.00018486,0.0001635807],"domain_scores_gemma":[0.9996761,0.0001113232,0.00002948848,0.00005398291,0.00008785939,0.00004137474],"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":[0.000006120282,0.00002096777,0.0001882209,0.00006824313,0.00000340593,0.0001184472,0.002987263,0.00007798941,0.00008602857,0.5657987,0.3875165,0.04312816],"study_design_scores_gemma":[0.000001581729,0.000003959733,0.0001452443,0.0001068151,0.000001524175,0.0001169409,0.0006337434,0.00002709098,0.00006450126,0.01230055,0.9865952,0.000002935101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001927538,0.006785716,0.0004084614,0.007396545,0.001308662,0.00002352163,0.00007162471,0.00005438786,0.9820235],"genre_scores_gemma":[0.0424201,0.007936191,0.0003871734,0.008516682,0.0005059608,0.0000562589,0.0001404337,0.00006757497,0.9399697],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02771262,"threshold_uncertainty_score":0.09270793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190194120462892,"score_gpt":0.2323052073144415,"score_spread":0.2004032661098126,"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."}}