{"id":"W4292066939","doi":"10.3390/vehicles4030047","title":"Off-Road Electric Vehicles and Autonomous Robots in Agricultural Sector: Trends, Challenges, and Opportunities","year":2022,"lang":"en","type":"article","venue":"Vehicles","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministère des relations internationales et de la Francophonie","keywords":"Electrification; Agriculture; Renewable energy; Engineering; Environmental economics; Business; Electricity; Economics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005569325,0.000300801,0.0002304364,0.001049194,0.000326834,0.001695425,0.0004426738,0.001232692,0.004085234],"category_scores_gemma":[0.0005421969,0.0001323615,0.0001987394,0.00166282,0.0006923833,0.003967066,0.000772487,0.0008592011,0.001212013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000649641,"about_ca_system_score_gemma":0.0007771656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009981209,"about_ca_topic_score_gemma":0.001452828,"domain_scores_codex":[0.9996668,0.00006141506,0.00001799656,0.00006226405,0.0001276896,0.00006390525],"domain_scores_gemma":[0.9992023,0.0002898515,0.0001064016,0.00002665361,0.0002897294,0.00008519238],"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":[0.00008990017,0.0001571211,0.00697914,0.00215198,0.00001979706,0.0004153161,0.0005071492,0.003257883,0.004410647,0.1286463,0.02684758,0.8265172],"study_design_scores_gemma":[0.000007647545,0.0002710826,0.003758916,0.0009896456,0.00002652067,0.001090462,0.002467095,0.007311477,0.003027932,0.0331898,0.9478148,0.00004462827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03496219,0.7870454,0.02563472,0.02904727,0.00172228,0.00005106074,0.0001499089,0.0002054659,0.1211817],"genre_scores_gemma":[0.2219299,0.7231814,0.01199777,0.003588585,0.001768346,0.00003887818,0.000257753,0.00005541504,0.03718191],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004085234,"threshold_uncertainty_score":0.01366651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04701379401515565,"score_gpt":0.2072483318927028,"score_spread":0.1602345378775471,"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."}}