{"id":"W3015369452","doi":"","title":"[HS1322] 'Florida Brilliance' Strawberry","year":2018,"lang":"tr","type":"article","venue":"EDIS","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Geography; Beauty; Library science; Biology; Horticulture; Political science; Law","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":[0.0005111081,0.0008216085,0.0005284751,0.001127381,0.001426911,0.0005182679,0.001281288,0.001035795,0.03763898],"category_scores_gemma":[0.0002838896,0.000435533,0.0003363678,0.001341032,0.0004819756,0.0006886324,0.0005564414,0.001533492,0.009031526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020237,"about_ca_system_score_gemma":0.0007986683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009562374,"about_ca_topic_score_gemma":0.03343039,"domain_scores_codex":[0.9996682,0.00004226822,0.00002490958,0.0001177785,0.0001072239,0.00003951116],"domain_scores_gemma":[0.9997768,0.00002525181,0.00003005959,0.00002600067,0.00007856225,0.00006335113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001166899,0.000397348,0.001498071,0.0005806058,0.0000689156,0.001612167,0.0007051034,0.0002589839,0.8329094,0.01142195,0.04754458,0.101836],"study_design_scores_gemma":[0.0002445486,0.0005992323,0.01531662,0.000105494,0.00006205007,0.001723611,0.0002320286,0.0004817108,0.04707602,0.0006164636,0.9334642,0.00007796729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5905245,0.003065455,0.05086261,0.00639339,0.004199166,0.002871501,0.06376794,0.004436942,0.2738785],"genre_scores_gemma":[0.3382069,0.002197322,0.0524576,0.003855453,0.0003344145,0.001115981,0.08258532,0.002841169,0.5164059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03763898,"threshold_uncertainty_score":0.125915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04377459174990717,"score_gpt":0.2874610360410088,"score_spread":0.2436864442911016,"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."}}