{"id":"W2982503010","doi":"10.30901/2227-8834-2019-3-19-25","title":"THE GENE POOL FOR TABLE BEET BREEDING (MODERN ASPECTS OF STUDY AND USE)","year":2019,"lang":"en","type":"article","venue":"PROCEEDINGS ON APPLIED BOTANY GENETICS AND BREEDING","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Biology; Geography; Computer science; Database","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":[0.0003394259,0.0004587139,0.0005127088,0.0007856495,0.0004428008,0.0007894472,0.000513893,0.0002965864,0.01326605],"category_scores_gemma":[0.0001712308,0.0001676593,0.0004068666,0.001423098,0.0002104012,0.0003681608,0.0005206937,0.0004393129,0.005636454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000271747,"about_ca_system_score_gemma":0.0007436376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009017972,"about_ca_topic_score_gemma":0.001570138,"domain_scores_codex":[0.9998011,0.00003477109,0.00001286561,0.00008768327,0.00002862102,0.00003501457],"domain_scores_gemma":[0.9998413,0.00001836986,0.00002289767,0.00004225873,0.00002249669,0.00005261637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006259152,0.0001758501,0.01234846,0.001106544,0.0001756097,0.0005674848,0.0005327682,0.0004280861,0.483517,0.01658506,0.0178438,0.4660935],"study_design_scores_gemma":[0.0001353586,0.0004824177,0.1163139,0.0004360646,0.0004099849,0.002684088,0.0003780278,0.0007607373,0.02878394,0.004013151,0.8455598,0.00004266298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6837016,0.05995087,0.08057065,0.002093124,0.0008081538,0.001025124,0.06382765,0.00169796,0.1063249],"genre_scores_gemma":[0.6714658,0.02887368,0.1178075,0.001277178,0.0004238467,0.001331174,0.1272649,0.0005542404,0.05100174],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01326605,"threshold_uncertainty_score":0.04437935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174633417505683,"score_gpt":0.208373866734745,"score_spread":0.1866275325596882,"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."}}