{"id":"W3175705516","doi":"10.3390/s21134386","title":"Estimation of Soil Surface Roughness Using Stereo Vision Approach","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Tillage; Surface finish; Plough; Soil science; Surface roughness; Pixel; Soil water; Remote sensing; Computer science; Environmental science; Mathematics; Computer vision; Artificial intelligence; Geology; Engineering; Geography; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001701955,0.0004268743,0.0004208536,0.002289819,0.0001598514,0.0004796256,0.0004459048,0.0004398817,0.001243558],"category_scores_gemma":[0.0004810665,0.0002308142,0.0006063432,0.0008799202,0.0001388403,0.0005111514,0.0003200712,0.0002487404,0.0006031802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643701,"about_ca_system_score_gemma":0.0004264196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004539569,"about_ca_topic_score_gemma":0.005822496,"domain_scores_codex":[0.9996519,0.00002646914,0.00001339954,0.00007914566,0.0001811771,0.00004798944],"domain_scores_gemma":[0.9997347,0.00003463772,0.00004143304,0.00003021559,0.0001467902,0.00001212243],"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":[0.0001626209,0.0001259972,0.01057271,0.0002815084,0.0001076953,0.000226687,0.0001453571,0.06544168,0.2755485,0.001546463,0.002343639,0.6434971],"study_design_scores_gemma":[0.00003181209,0.000178424,0.03977028,0.00002469037,0.00006158301,0.0004148685,0.0001790908,0.8970793,0.05787996,0.001311142,0.002993847,0.00007501999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1374104,0.0002924072,0.8563544,0.00004612685,0.00003430767,0.0001050022,0.0005124069,0.001776939,0.003468088],"genre_scores_gemma":[0.719847,0.0003017454,0.2769102,0.00004001381,0.00002859475,0.00008307128,0.0008448039,0.00006984358,0.001874705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004539569,"threshold_uncertainty_score":0.009026289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513224131339752,"score_gpt":0.2411903717261491,"score_spread":0.2260581304127516,"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."}}