{"id":"W2027938621","doi":"10.1016/j.biosystemseng.2010.05.001","title":"Computer vision system for wild blueberry fruit yield mapping","year":2010,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Yield (engineering); Vaccinium; Pixel; Berry; Mathematics; Environmental science; Horticulture; Computer science; Artificial intelligence; Biology","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":[0.0002819234,0.0001950323,0.0002353015,0.00001982817,0.0002019932,0.000176881,0.0002634349,0.0001705577,0.00003202876],"category_scores_gemma":[0.00007563432,0.00006905115,0.0001481395,0.0002346851,0.00001474475,0.0001622383,0.00007475385,0.0002162853,0.00005445714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003595042,"about_ca_system_score_gemma":0.000003912185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001594379,"about_ca_topic_score_gemma":0.0001460338,"domain_scores_codex":[0.9986833,0.00001354356,0.00028923,0.0003161502,0.000241663,0.0004561516],"domain_scores_gemma":[0.9992999,0.0002528021,0.00005347509,0.00007317473,0.000130558,0.0001901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005448118,0.0000119369,0.0001357726,0.0001374839,0.00001362207,0.000004086362,0.00004263219,0.00002276413,0.989966,0.0004082616,0.0006205398,0.008631425],"study_design_scores_gemma":[0.0007707046,0.001130607,0.07747544,0.002053693,0.00004617996,0.0003812938,0.001684091,0.05677313,0.2657491,0.000009201792,0.5919075,0.002019068],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970575,0.00005884757,0.0001257181,0.000404782,0.00132246,0.0005347729,0.00003593175,0.0003096445,0.0001503346],"genre_scores_gemma":[0.9969984,0.000002520051,0.0006105409,0.00002170263,0.001931284,0.00007211822,0.00003609352,0.000002554726,0.0003247999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7242169,"threshold_uncertainty_score":0.2815824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421921523566394,"score_gpt":0.2277370949950922,"score_spread":0.2035178797594282,"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."}}