{"id":"W4415622490","doi":"10.15353/joci.v21i1.6400","title":"Migrant and Seasonal Farmworkers in Digital Inclusion Planning, North Carolina, 2023-2024","year":2025,"lang":"","type":"article","venue":"The Journal of Community Informatics","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Museum and Library Services","keywords":"Inclusion (mineral); Digital inclusion; Invisibility; Agriculture; Digital divide; Inclusion–exclusion principle","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":[0.002636431,0.0001456038,0.00009028152,0.0009993841,0.008936544,0.002578,0.001053271,0.0005712539,0.006712712],"category_scores_gemma":[0.006071885,0.0002052408,0.0001351172,0.001558057,0.001623079,0.001296617,0.005477552,0.00115483,0.000508343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009449286,"about_ca_system_score_gemma":0.02749946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3380284,"about_ca_topic_score_gemma":0.578339,"domain_scores_codex":[0.9984012,0.000464634,0.00006820715,0.0001361507,0.0003948922,0.0005348872],"domain_scores_gemma":[0.9956547,0.0010856,0.000433589,0.000167653,0.0008368726,0.001821537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000160226,0.0007609914,0.3055957,0.000337625,0.00001853369,0.002794988,0.3146434,0.0006039412,0.001138075,0.006307213,0.1092661,0.2583733],"study_design_scores_gemma":[0.00001274843,0.00009401108,0.221936,0.0003727002,0.00001030202,0.0002203402,0.6631852,0.0004854708,0.000302988,0.00110768,0.1122432,0.00002941959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384466,0.0004152954,0.00063743,0.01131774,0.0000771229,0.0004227766,0.0005625064,0.00006243054,0.04805808],"genre_scores_gemma":[0.9775757,0.0007092482,0.001970588,0.00191533,0.00002480097,0.0007070116,0.0006358667,0.0000289343,0.01643251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3380284,"threshold_uncertainty_score":0.6721218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506090130357297,"score_gpt":0.2418587856613623,"score_spread":0.2267978843577893,"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."}}