{"id":"W4393165141","doi":"10.32725/978-80-7694-053-6.03","title":"Real consequences of the necessity of digitalization in rural Mexico","year":2024,"lang":"en","type":"article","venue":"Inproforum ...","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004629849,0.00004202238,0.00007231372,0.00004429061,0.000009301838,0.000009426492,0.0001011024,0.00004359447,0.000006566717],"category_scores_gemma":[0.00001803397,0.00002840371,0.0000255364,0.0002235004,0.0001208365,0.00008622455,0.00003639899,0.00005133836,9.426964e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001779322,"about_ca_system_score_gemma":0.00001357554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001661102,"about_ca_topic_score_gemma":0.00009088284,"domain_scores_codex":[0.9996854,0.000004494889,0.0001249641,0.00003700942,0.00006253415,0.00008557583],"domain_scores_gemma":[0.9998566,0.00002536994,0.00001317816,0.00009125769,0.00000934415,0.000004256887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001037029,0.00002552906,0.7229105,0.0009608492,0.00007432653,0.000008718524,0.001467318,0.007015466,0.06446215,0.1672447,0.003603397,0.03221668],"study_design_scores_gemma":[0.0001841179,0.00005444087,0.106457,0.0007850935,0.00001374489,0.000007954391,0.003311946,0.01699644,0.8241715,0.0458943,0.001920708,0.0002027477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916031,0.0003322101,0.0001455639,0.000249105,0.0002854114,0.00005930131,0.00001396123,0.0001458386,0.007165477],"genre_scores_gemma":[0.9998098,0.0001072658,0.00002718813,0.000003420723,0.000006249096,0.000004706634,0.00000163722,0.000004985413,0.00003471869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7597094,"threshold_uncertainty_score":0.1158269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008901694630161475,"score_gpt":0.2202568714366157,"score_spread":0.2113551768064542,"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."}}