{"id":"W3212360355","doi":"10.1109/iecon48115.2021.9589075","title":"Development of Agricultural Robot Platform with Virtual Laboratory Capabilities","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Robot; Computer science; Software deployment; Context (archaeology); Virtualization; Software; Field (mathematics); Embedded system; Human–computer interaction; Cloud computing; Artificial intelligence; Software engineering; Operating system","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":[0.00006844562,0.0001319761,0.000174992,0.000003750035,0.0001308766,0.00003118882,0.0001115697,0.00006453307,0.0005841053],"category_scores_gemma":[0.00001283608,0.00003190347,0.00004637124,0.0003676623,0.00004611202,0.0001483126,0.00005135781,0.00006830767,0.00001970778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002011839,"about_ca_system_score_gemma":0.00003974781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002080814,"about_ca_topic_score_gemma":0.002871036,"domain_scores_codex":[0.9991372,0.00001593875,0.0002109325,0.0002070007,0.0002325437,0.0001964125],"domain_scores_gemma":[0.9995162,0.00006843126,0.0000567483,0.00003701383,0.0002476618,0.00007393693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001274228,0.0001366826,0.005193173,0.000008204929,0.00004071177,0.000004545966,0.0008180396,0.000009519214,0.9806899,0.002032449,0.001215485,0.009838531],"study_design_scores_gemma":[0.0001150441,0.0001573044,0.5178058,0.00002199698,0.000008645896,0.00001111681,0.0147086,3.59292e-7,0.4403021,0.00001245883,0.02665759,0.0001990672],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949689,0.00005825211,0.000003282628,0.0003316435,0.0000592871,0.00006936936,0.0000107634,0.00005086239,0.004447672],"genre_scores_gemma":[0.9950229,0.000004700983,0.002149648,0.000141948,0.00012602,0.00001102919,0.0001043405,4.703748e-7,0.002438925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5403879,"threshold_uncertainty_score":0.6395543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308081059406747,"score_gpt":0.1806105127134281,"score_spread":0.1675297021193606,"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."}}