{"id":"W4390952039","doi":"10.23977/jaip.2023.060811","title":"Tomato picking robot based on deep learning","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upload; Robot; Computer science; Artificial intelligence; Maturity (psychological); Field (mathematics); Cloud computing; Simulation; Computer vision; Mathematics; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123166,0.0001271316,0.0001844562,0.00004844219,0.0002806761,0.0001730658,0.0002681019,0.0000838956,0.0003021109],"category_scores_gemma":[0.002160146,0.00004736446,0.0001574795,0.0009252825,0.00002981606,0.0004613319,0.00003344611,0.0004741066,0.0004869751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003082465,"about_ca_system_score_gemma":0.00001463123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003416723,"about_ca_topic_score_gemma":0.00006261363,"domain_scores_codex":[0.9983916,0.0002099998,0.0004822186,0.0001601137,0.0004892285,0.0002668876],"domain_scores_gemma":[0.9970243,0.001999069,0.0004833241,0.0000401469,0.0003361449,0.0001169966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004279074,0.0004264211,0.00149309,0.000007887367,0.0000486861,0.0003451335,0.0006895709,0.063316,0.1522374,0.001355779,0.001570483,0.7780817],"study_design_scores_gemma":[0.0002054491,0.009268681,0.05100642,0.0006364058,0.0003780241,0.0007142707,0.05948659,0.1138959,0.2402259,0.007295331,0.5151407,0.001746456],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614243,0.0001493501,0.003076462,0.02900705,0.001569823,0.0001933044,0.000001986584,0.0001770456,0.004400705],"genre_scores_gemma":[0.997211,0.00006473646,0.0006060895,0.0008776012,0.001131546,0.000001991446,0.000004421728,0.000001489982,0.0001011522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7763352,"threshold_uncertainty_score":0.6259242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05290586088582658,"score_gpt":0.3035048828069606,"score_spread":0.250599021921134,"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."}}