{"id":"W4379470510","doi":"10.1016/b978-0-443-18953-1.00009-x","title":"Yield monitoring and mechanical harvesting of wild blueberries to improve farm profitability","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Environmental science; Agricultural engineering; Economic shortage; Logging; Canopy; Relative humidity; Rainwater harvesting; Terrain; Yield (engineering); Engineering; Meteorology; Geography; Materials science; Forestry; Ecology","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":[0.0003797234,0.0002079793,0.0003145841,0.00001968704,0.0001362033,0.00006408689,0.000215523,0.0002274267,0.00006464462],"category_scores_gemma":[0.0001708651,0.00009269763,0.00009812922,0.00003485278,0.00009249151,0.00001824569,0.0003520742,0.0002833391,0.00001787169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001821612,"about_ca_system_score_gemma":0.0000178695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002256134,"about_ca_topic_score_gemma":0.0002528662,"domain_scores_codex":[0.9985876,0.00002009348,0.0003532775,0.0004439299,0.0003483735,0.0002467337],"domain_scores_gemma":[0.9991808,0.0002647711,0.000120525,0.0001068381,0.0001677237,0.0001593222],"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":[0.00001056011,0.000004685489,0.0001663082,0.00004512037,0.00001929323,0.000001554198,0.00005272346,1.504463e-7,0.08504669,0.001545686,0.000007140637,0.9131001],"study_design_scores_gemma":[0.0003053701,0.00184036,0.03067375,0.002092063,0.0001214333,0.000007598042,0.0005531777,0.00002332331,0.1058735,0.03409629,0.8227779,0.00163526],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2490065,0.0002314017,6.639618e-7,0.0009819494,0.000550084,0.001627934,0.0002048894,0.0001300157,0.7472666],"genre_scores_gemma":[0.0890367,0.00003790481,0.0001777485,0.00003755805,0.0005503324,0.00003132931,0.000009833676,0.000006115153,0.9101125],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9114648,"threshold_uncertainty_score":0.3780099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759414556770159,"score_gpt":0.2691883597854711,"score_spread":0.2115942142177695,"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."}}