{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006613911,0.0002688776,0.0002455099,0.00205365,0.0004531995,0.0004559487,0.0004253099,0.0001891095,0.01535868],"category_scores_gemma":[0.001956641,0.0001125964,0.0002760044,0.002247466,0.000133145,0.0005281727,0.0003198415,0.0002258279,0.00436795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009718766,"about_ca_system_score_gemma":0.0006658422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1277086,"about_ca_topic_score_gemma":0.3286993,"domain_scores_codex":[0.9994053,0.00003828166,0.00005561944,0.0000863246,0.0003301371,0.00008439302],"domain_scores_gemma":[0.9966406,0.0005857049,0.0005094588,0.0002848051,0.001799986,0.0001794656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002197436,0.0004099963,0.7355778,0.0007003996,0.0002405256,0.0007445569,0.002110347,0.002045142,0.009716105,0.001151249,0.1293908,0.1157157],"study_design_scores_gemma":[0.0000139064,0.0001223391,0.9517684,0.00003556959,0.00002095043,0.00008762315,0.0007705843,0.0001873445,0.0007251538,0.00006082051,0.04619289,0.00001428262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5185035,0.0004981855,0.001002989,0.0001175244,0.0000454398,0.0001613687,0.4306837,0.0002545051,0.04873269],"genre_scores_gemma":[0.4015836,0.0004361162,0.002245048,0.0000879673,0.00002121547,0.0003210967,0.5625207,0.00009101989,0.03269333],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1277086,"threshold_uncertainty_score":0.2539304,"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."}}