{"id":"W2803603549","doi":"10.3390/su10051680","title":"Validating the City Region Food System Approach: Enacting Inclusive, Transformational City Region Food Systems","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":245,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Fondation Daniel et Nina Carasso; Bundesministerium für Ernährung und Landwirtschaft; Social Sciences and Humanities Research Council of Canada; Wilfrid Laurier University","keywords":"CRFS; Operationalization; Food systems; Sustainability; Conceptual framework; Stakeholder; Framing (construction); Transformational leadership; Computer science; Business; Environmental resource management; Geography; Food security; Political science; Agriculture; Sociology; Conditional random field; Artificial intelligence; Economics; Public relations; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00102883,0.0002741868,0.0002940483,0.00001313693,0.001756902,0.0002171328,0.000513006,0.0002316889,0.00001301731],"category_scores_gemma":[0.0004218587,0.00008877153,0.0001847595,0.0007042598,0.000231638,0.0004019378,0.0001849912,0.0003456489,0.000003217423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007614582,"about_ca_system_score_gemma":0.00006987106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003597984,"about_ca_topic_score_gemma":0.0002196369,"domain_scores_codex":[0.9974939,0.0004868966,0.0004920477,0.0005316552,0.0004605302,0.0005349463],"domain_scores_gemma":[0.9981995,0.0002870171,0.000281647,0.0001922974,0.0009112917,0.0001282315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.002039126,0.005473419,0.2935561,0.01229811,0.00151388,0.00008498699,0.09335016,0.0004335817,0.03981038,0.3749198,0.0242704,0.1522501],"study_design_scores_gemma":[0.001988734,0.007972965,0.3910129,0.0006056692,0.0002976231,0.001180651,0.4794692,0.002671009,0.01595957,0.01236092,0.08339124,0.00308946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894174,0.00009042459,0.000374506,0.006124562,0.0002665512,0.001247729,0.00003237573,0.0002634496,0.002183045],"genre_scores_gemma":[0.9983256,0.000002385476,0.00001921103,0.00007033296,0.001363387,0.00006562831,0.00005093031,0.000002059273,0.0001004365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3861191,"threshold_uncertainty_score":0.9995427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253157775809341,"score_gpt":0.2199759513610476,"score_spread":0.1946601737801135,"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."}}