{"id":"W4401907555","doi":"10.1109/mts.2024.3443542","title":"Smart Farming Adoption in Europe","year":2024,"lang":"en","type":"article","venue":"IEEE Technology and Society Magazine","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Agricultural economics; Economics; Geography","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":[0.0001273236,0.00009697747,0.0001066073,0.00001927308,0.0000879968,0.00003617247,0.00008923899,0.0002050531,0.00004391432],"category_scores_gemma":[0.00001054168,0.00003569493,0.00004542181,0.001296968,0.00008900492,0.00008852253,0.00003737581,0.0002487924,0.00008943261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074249,"about_ca_system_score_gemma":0.000003790598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008859795,"about_ca_topic_score_gemma":0.0001036426,"domain_scores_codex":[0.9993908,0.000012097,0.0001131813,0.0002407502,0.00005728458,0.0001858618],"domain_scores_gemma":[0.9998624,0.00004345021,0.00001387539,0.00002883631,0.00002717418,0.00002422231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005254244,0.00006123984,0.0150578,0.00003065832,0.00002559878,0.00004955284,0.0002676502,0.00000156097,0.7528967,0.007710012,0.02420249,0.1996915],"study_design_scores_gemma":[0.0002028572,0.0002491678,0.1963228,0.0001384584,0.00002574712,0.0001032437,0.0007823659,0.0004895867,0.005544022,0.003322552,0.792432,0.0003872851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895318,0.001487513,0.000009509845,0.006812965,0.0002052712,0.0000812894,0.00000506244,0.0003365539,0.001530062],"genre_scores_gemma":[0.9972176,0.0007206377,0.0001212153,0.0002853675,0.000163843,0.00001179051,0.00001341278,8.330196e-7,0.00146528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7682294,"threshold_uncertainty_score":0.1581557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009522684823572181,"score_gpt":0.2087666991206333,"score_spread":0.1992440142970611,"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."}}