{"id":"W4410465179","doi":"10.52151/aet2022464.1602","title":"Transforming Agriculture through AI and Drone technique","year":2025,"lang":"en","type":"article","venue":"Agricultural Engineering Today","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Drone; Agriculture; Veterinary medicine; Engineering; Biology; Medicine; Ecology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001074092,0.0003617343,0.0003179309,0.00001726133,0.0002576218,0.0001311745,0.0002523713,0.0002642776,0.00004905821],"category_scores_gemma":[0.00002902367,0.0001118533,0.0001447066,0.0008474743,0.00003214601,0.0004303286,0.00008258584,0.0003596098,0.00001274078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004570089,"about_ca_system_score_gemma":0.0000050137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001562988,"about_ca_topic_score_gemma":0.000122255,"domain_scores_codex":[0.9986099,0.0000240564,0.0002899207,0.0004342682,0.0001833113,0.0004585581],"domain_scores_gemma":[0.9996113,0.0001057045,0.00004488694,0.00006300429,0.00007335383,0.0001018082],"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":[0.00000573367,0.00004077096,0.0003269674,0.00003210621,0.00004300896,0.00000548485,0.0001029167,0.00006291758,0.9779335,0.007472974,0.008965216,0.005008364],"study_design_scores_gemma":[0.0004616996,0.0002187196,0.1928695,0.0004580813,0.000122355,0.0001695514,0.0005044649,0.00008301899,0.2706901,0.0008292384,0.5323754,0.001217942],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659521,0.002534615,0.001624195,0.01970069,0.0006550602,0.001441866,0.00004589455,0.00107586,0.006969745],"genre_scores_gemma":[0.9958757,0.0001588155,0.0006497081,0.000653398,0.0003989374,0.0001644864,0.0001135877,0.000001788262,0.001983554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7072435,"threshold_uncertainty_score":0.4561246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004016112134090555,"score_gpt":0.184096177099575,"score_spread":0.1800800649654844,"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."}}