{"id":"W4409207022","doi":"10.5121/cseij.2025.15125","title":"Nano-sensors in Precision Agriculture","year":2025,"lang":"en","type":"article","venue":"Computer Science & Engineering An International Journal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Precision agriculture; Agriculture; Environmental science; Agricultural engineering; Remote sensing; Agricultural economics; Geography; Engineering; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008614402,0.0005105778,0.0008469636,0.0008845023,0.0006333279,0.001910882,0.000816258,0.00264736,0.003459144],"category_scores_gemma":[0.001005481,0.0003047115,0.0005001144,0.001076511,0.002027914,0.003275963,0.001657811,0.002312027,0.0015803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122377,"about_ca_system_score_gemma":0.0008439694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007186274,"about_ca_topic_score_gemma":0.0008396731,"domain_scores_codex":[0.9991845,0.0001757596,0.00004191831,0.0001650611,0.0003704049,0.00006222504],"domain_scores_gemma":[0.9994668,0.0002830338,0.00005369765,0.00004200852,0.0001246677,0.00002971972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001126808,0.00009870687,0.0009803057,0.00541619,0.00007875438,0.0006606423,0.0005618717,0.006189171,0.07663602,0.5458155,0.01514418,0.3483061],"study_design_scores_gemma":[0.00001205636,0.000222625,0.0008329205,0.001231476,0.00004170174,0.0009770641,0.000435196,0.005177838,0.03352251,0.1954055,0.762075,0.00006618926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008219045,0.8116238,0.08927944,0.01002681,0.003368884,0.00007683961,0.0001512821,0.0002683347,0.07698569],"genre_scores_gemma":[0.252141,0.6231682,0.08078691,0.006610433,0.002289838,0.0002056738,0.0002000578,0.0000999316,0.03449786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003459144,"threshold_uncertainty_score":0.011572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006840623973749181,"score_gpt":0.2218294010121286,"score_spread":0.2149887770383794,"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."}}