{"id":"W4415358790","doi":"10.5539/mas.v19n2p73","title":"Design, Development and Application of a Drone-Integrated Cutting Mechanism for Agriculture","year":2025,"lang":"","type":"article","venue":"Modern Applied Science","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknikal Malaysia Melaka","keywords":"Drone; Arduino; Mechanism (biology); Process (computing); Controller (irrigation); Visualization; Quadcopter; Agriculture","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":[0.0003144646,0.0004471197,0.0003546111,0.0005815499,0.0002573532,0.0006334025,0.00169778,0.0009560115,0.002741697],"category_scores_gemma":[0.0003557697,0.0003113849,0.000408622,0.0002066117,0.0001822373,0.000494451,0.0004531816,0.0002589858,0.0009277809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002661881,"about_ca_system_score_gemma":0.0005431828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008319994,"about_ca_topic_score_gemma":0.0008378333,"domain_scores_codex":[0.999684,0.00001796554,0.00001757671,0.00007158535,0.0001703108,0.00003872284],"domain_scores_gemma":[0.9997496,0.00002425331,0.00004910707,0.00003737137,0.0001040028,0.0000356087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001757627,0.0001673021,0.002713033,0.000686182,0.00004936446,0.0009247111,0.0003149508,0.01696227,0.8129663,0.004175559,0.001281759,0.1595828],"study_design_scores_gemma":[0.0002321064,0.004648242,0.01430178,0.000216893,0.00019353,0.003071194,0.0004130669,0.2114925,0.6195617,0.0009274066,0.1447496,0.0001918797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3366167,0.002181903,0.6383544,0.0003021597,0.0003420103,0.0009537069,0.0002351898,0.003257007,0.01775702],"genre_scores_gemma":[0.7286471,0.0009617695,0.255357,0.00009237105,0.00002498931,0.0003368094,0.0002189161,0.00009629906,0.01426463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002741697,"threshold_uncertainty_score":0.009171903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110423069104094,"score_gpt":0.229782890092613,"score_spread":0.2187405831822036,"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."}}