{"id":"W7032679991","doi":"","title":"Orchard Oriole: New to Northern Ontario","year":2024,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Orchard; Population; Vegetation (pathology); Yield (engineering)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004691444,0.0005637532,0.0006878862,0.001357913,0.009371297,0.003637552,0.001213641,0.0007059412,0.1918648],"category_scores_gemma":[0.0007968943,0.0006336294,0.0004806492,0.004224094,0.001224511,0.001233323,0.001548204,0.00107015,0.0318215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02240749,"about_ca_system_score_gemma":0.04253342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9659977,"about_ca_topic_score_gemma":0.9970506,"domain_scores_codex":[0.9991297,0.00002570802,0.00002192972,0.0001444281,0.0004659902,0.00021236],"domain_scores_gemma":[0.9987496,0.00004859279,0.00004300068,0.00007080789,0.0006453865,0.0004425426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004514245,0.0001165945,0.02777354,0.0007787676,0.00004689685,0.001619278,0.005803907,0.0003989568,0.006279234,0.009656744,0.7072637,0.239811],"study_design_scores_gemma":[0.00001186065,0.00001644601,0.03022719,0.00005809624,0.00001151206,0.0001106252,0.001603991,0.00007289584,0.000423855,0.0001896776,0.9672524,0.00002136214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05806068,0.01326132,0.002671951,0.006081501,0.0009806022,0.0006075299,0.02820922,0.002522249,0.8876049],"genre_scores_gemma":[0.02067112,0.002194387,0.001534046,0.0002526024,0.00004638823,0.00004239362,0.002101249,0.0004694093,0.9726884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1918648,"threshold_uncertainty_score":0.6418516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885653242948744,"score_gpt":0.1939820424408308,"score_spread":0.1751255100113433,"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."}}