{"id":"W4408470964","doi":"10.21083/ruralreview.v8i1.7950","title":"Exploring the Lived Experiences of Minority Potato Farmers: A Multi-Lens Framework for Policy and Planning Reform","year":2024,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Lived experience; Through-the-lens metering; Lens (geology); Business; Political science; Sociology; Psychology; Physics; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002668567,0.0002825919,0.0003797612,0.00003425654,0.0004139407,0.0001409566,0.0002110064,0.00007897353,0.00002024555],"category_scores_gemma":[0.0001439548,0.00009254174,0.0001008396,0.0004277324,0.00009171479,0.0003098882,0.00009819145,0.0002506639,0.000003390295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517941,"about_ca_system_score_gemma":0.0001203367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006769978,"about_ca_topic_score_gemma":0.001080579,"domain_scores_codex":[0.9986957,0.00003350094,0.0004060965,0.0002556863,0.000187904,0.0004211394],"domain_scores_gemma":[0.9994147,0.000253577,0.0001126209,0.00005435617,0.00004418398,0.0001205695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000128704,0.0001038408,0.008395713,0.003286568,0.0003757386,0.00002723549,0.3702219,0.000001436083,0.008739852,0.01636476,0.003262435,0.5890918],"study_design_scores_gemma":[0.0004229865,0.0005873821,0.3080876,0.02490631,0.0001725064,0.0001605486,0.1389055,0.00002230033,0.002421436,0.001042101,0.5218463,0.001425],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586158,0.0344565,0.00000407147,0.006029251,0.0001794426,0.0004637794,0.000009857141,0.00005923218,0.0001820614],"genre_scores_gemma":[0.9910565,0.005606657,0.001050011,0.000787378,0.0007381226,0.0001676814,0.00006216079,0.000002563543,0.0005289137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5876668,"threshold_uncertainty_score":0.999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09399619068322722,"score_gpt":0.3048366356525475,"score_spread":0.2108404449693203,"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."}}