{"id":"W4304128274","doi":"10.3390/agriculture12101657","title":"Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Correlation coefficient; Mean squared error; Coefficient of determination; Mathematics; Vaccinium; Linear regression; Yield (engineering); Regression analysis; Horticulture; Environmental science; Algorithm; Statistics; Biology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000670096,0.0001900612,0.0001855717,0.00003364657,0.0004839091,0.00003134045,0.0001101446,0.00003802053,0.0000466091],"category_scores_gemma":[0.00003670946,0.0001275524,0.00004199137,0.0005212231,0.00002599936,0.0001163612,0.00007841447,0.000634225,0.000003125507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051822,"about_ca_system_score_gemma":0.00001076698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001570925,"about_ca_topic_score_gemma":0.003033015,"domain_scores_codex":[0.9991229,0.00004460503,0.0001260037,0.0002096204,0.0002355617,0.0002613444],"domain_scores_gemma":[0.9997052,0.00006422534,0.00003160079,0.00008452914,0.00006436477,0.00005009122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009451216,0.0002012375,0.3518621,0.0002540332,0.0009940657,0.0001335709,0.01280844,0.5867975,0.004541681,0.00009435143,0.02806744,0.01415109],"study_design_scores_gemma":[0.001272925,0.0007070608,0.7414441,0.00006981398,0.000156159,0.0002435185,0.005439747,0.0218946,0.002005818,0.00006607197,0.2256761,0.001024089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857622,0.003476609,0.0005689229,0.0004012376,0.0002776115,0.0004182528,0.0001619764,0.001904,0.007029225],"genre_scores_gemma":[0.9974673,0.00001507766,0.0005127901,0.00001356417,0.0001305886,0.00009321779,0.00008977571,0.00002332825,0.001654301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5649028,"threshold_uncertainty_score":0.5201434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005214992844314699,"score_gpt":0.169621705266207,"score_spread":0.1644067124218923,"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."}}