{"id":"W7070868572","doi":"","title":"Preliminary Maple Sap Data For Boxelder and Norway Maples","year":2023,"lang":"en","type":"article","venue":"Digital Commons - USU (Utah State University)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maple; Sugar; Aceraceae; Yield (engineering); Nutrient","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007075664,0.0001290249,0.0001325156,0.0003326806,0.0002271122,0.0002920985,0.00172733,0.00005144416,0.000001596988],"category_scores_gemma":[0.000032636,0.0001359776,0.00003614586,0.0008765639,0.0001354599,0.001366664,0.002871712,0.0000855727,0.00004132868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002438085,"about_ca_system_score_gemma":0.00004029349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000019409,"about_ca_topic_score_gemma":0.00004146518,"domain_scores_codex":[0.999043,0.000009926715,0.0001034325,0.0004642302,0.0001027505,0.0002766865],"domain_scores_gemma":[0.9984117,0.0002259997,0.00005199721,0.001185515,0.00005547518,0.00006934987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001145993,0.000324002,0.006298873,0.0001372172,0.000200095,0.0003551619,0.0009018959,0.0001737534,0.0002681289,0.5088057,0.09918367,0.3832369],"study_design_scores_gemma":[0.0005726718,0.0002605548,0.005271963,0.00002138058,0.0000180232,0.00001885301,0.0007698734,0.03108727,0.0001904162,0.01929295,0.942096,0.0004000466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4351506,0.0001655261,0.5315698,0.007747129,0.0001415473,0.001077228,0.003185677,0.003665103,0.01729736],"genre_scores_gemma":[0.9879863,0.00009719506,0.006879726,0.00003779139,0.000009424977,0.000005312703,0.0003251984,0.00001905822,0.004639945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8429123,"threshold_uncertainty_score":0.5545006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768013233872466,"score_gpt":0.2344729222738311,"score_spread":0.1967927899351065,"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."}}