{"id":"W6988206372","doi":"","title":"Интродуцированные канадские сорта персика в условиях Никитского ботанического сада","year":2021,"lang":"en","type":"article","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Yield (engineering); China; Cultivar","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":[0.0008021584,0.0003829632,0.000349934,0.001916513,0.001288264,0.002868292,0.0004091581,0.0007091981,0.02884374],"category_scores_gemma":[0.001161792,0.0004330396,0.0004362928,0.002448745,0.001557427,0.0009408856,0.001037161,0.001379018,0.01322751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128415,"about_ca_system_score_gemma":0.002249921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005151137,"about_ca_topic_score_gemma":0.005943936,"domain_scores_codex":[0.9993126,0.00009125131,0.00004730648,0.0001173041,0.0003396987,0.00009172691],"domain_scores_gemma":[0.9994234,0.0001284996,0.00006709145,0.000114727,0.0002090896,0.00005727094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002222656,0.00008372804,0.001995176,0.0006378101,0.0000352337,0.001212944,0.001554721,0.00142571,0.03649574,0.2561615,0.01665158,0.6835237],"study_design_scores_gemma":[0.0000306707,0.00007412417,0.002874009,0.0001666783,0.00003069051,0.001454581,0.0004214711,0.0004582125,0.009642928,0.02162442,0.9631671,0.0000549849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0621183,0.06533383,0.07294547,0.003934043,0.002485828,0.0002959977,0.00176843,0.0007555034,0.7903626],"genre_scores_gemma":[0.6325411,0.06895827,0.09510529,0.0005412917,0.001050324,0.0007219134,0.001362861,0.0005467768,0.1991722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9948488,"threshold_uncertainty_score":0.09649187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054482505481439,"score_gpt":0.1703979105533319,"score_spread":0.1598530854985176,"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."}}