{"id":"W4378364711","doi":"10.1109/icsmdi57622.2023.00094","title":"Agrobot: Agricultural Robot using IoT and Machine Learning (ML)","year":2023,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Agriculture; Natural disaster; Livelihood; Agrarian society; Business; Agricultural productivity; Production (economics); Food security; Natural resource; Natural resource economics; Economics; Geography; Political science","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":[0.0002534393,0.0001255927,0.0001306222,0.00009845544,0.000354611,0.0002444913,0.0002918732,0.00004334116,0.00000323963],"category_scores_gemma":[0.0000236064,0.00009243868,0.00004002944,0.0006629101,0.00002041222,0.0001979157,0.0005761848,0.0001747827,0.00008598169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000214563,"about_ca_system_score_gemma":0.00001431549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001286878,"about_ca_topic_score_gemma":0.000004408954,"domain_scores_codex":[0.998988,0.00004644924,0.0001473504,0.0003084383,0.0001577277,0.0003520474],"domain_scores_gemma":[0.9996111,0.00008036155,0.00004535271,0.0001439131,0.0000351902,0.00008402304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001674407,0.0001374842,0.06399147,0.0002180223,0.0002483788,0.0003861233,0.01470203,0.146599,0.1674608,0.01827139,0.02432736,0.5636413],"study_design_scores_gemma":[0.0001778181,0.0000324245,0.02924718,0.00002252474,0.000005250055,0.00007022528,0.00004715922,0.966989,0.001063385,0.0002371039,0.001883453,0.0002244833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7137114,0.0001763541,0.2753635,0.001179323,0.004258069,0.000115158,6.007534e-8,0.00135866,0.00383745],"genre_scores_gemma":[0.9143087,0.00001739292,0.07864469,0.0002336124,0.001621705,0.000001935482,0.000006593903,0.00001858302,0.005146823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.82039,"threshold_uncertainty_score":0.376954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04503041925274056,"score_gpt":0.2455775364256073,"score_spread":0.2005471171728667,"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."}}