{"id":"W4410712093","doi":"10.1016/j.atech.2025.101050","title":"Time-of-flight-based advanced surface reconstruction methods for real-time volume estimation of bulk harvested wild blueberries","year":2025,"lang":"en","type":"article","venue":"Smart Agricultural Technology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Volume (thermodynamics); Time of flight; Surface (topology); Estimation; Environmental science; Computer science; Aerospace engineering; Mathematics; Engineering; Optics; Physics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001833148,0.0001381371,0.0002785637,0.00008067288,0.0001266478,0.000008180727,0.0001824061,0.0002082472,0.00005558461],"category_scores_gemma":[0.0001488968,0.0001057586,0.00007830538,0.0008542669,0.0004962526,0.0001148917,0.00005648386,0.00009116837,0.00004389969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009278931,"about_ca_system_score_gemma":0.00001778004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001384984,"about_ca_topic_score_gemma":0.00003807849,"domain_scores_codex":[0.999055,0.00005270864,0.0003499268,0.0002881073,0.00007699733,0.0001772715],"domain_scores_gemma":[0.9992529,0.000128188,0.0002375025,0.0002846852,0.0000722722,0.00002440832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002159988,0.0000365686,0.0004421106,0.00002036527,0.00001991072,5.256914e-8,0.00003583096,0.009667912,0.8390203,0.0002341339,0.001690743,0.1488105],"study_design_scores_gemma":[0.0005227911,0.0001658808,0.01418466,0.00009137423,0.00008024504,0.00001240791,0.0001983143,0.07206859,0.9018005,0.003404413,0.007234271,0.0002365774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9724604,0.00003068838,0.02076715,0.002928453,0.000112957,0.0006298515,0.00001584169,0.0002543546,0.002800338],"genre_scores_gemma":[0.2826789,0.00001042306,0.7115458,0.00002470997,0.000007533077,0.00002188512,0.0001012847,0.00001005754,0.005599426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6907786,"threshold_uncertainty_score":0.4312713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005332881172083672,"score_gpt":0.2606921039863911,"score_spread":0.2553592228143074,"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."}}