{"id":"W3114943331","doi":"10.32473/edis-hs1296-2017","title":"University of Florida Potato Variety Trials Spotlight: ‘Yukon Gold’","year":2017,"lang":"en","type":"article","venue":"EDIS","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Archaeology; Political science; Library science; History; Computer science; Artificial intelligence","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":[0.00205442,0.0003911844,0.0004852527,0.0004006787,0.000710752,0.0008845192,0.0007291649,0.0007502482,0.1195228],"category_scores_gemma":[0.001042473,0.0003119816,0.0002575208,0.0003209561,0.0003562681,0.0005775958,0.0009104324,0.001107709,0.0276803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000678324,"about_ca_system_score_gemma":0.001877908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145437,"about_ca_topic_score_gemma":0.06281353,"domain_scores_codex":[0.9996589,0.00006342055,0.00001436861,0.00007799217,0.0001388348,0.00004643138],"domain_scores_gemma":[0.9987683,0.0001650706,0.00005815144,0.0001193937,0.0003766349,0.0005125735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00191388,0.0002490089,0.0007986827,0.00008962612,0.00001086385,0.00008387817,0.00007459895,0.00006283043,0.01099753,0.0005442715,0.8990427,0.08613211],"study_design_scores_gemma":[0.0004281558,0.0007738514,0.01102856,0.00006720359,0.00001806603,0.0000516678,0.0001157157,0.0003159304,0.004348393,0.000590609,0.982233,0.00002881817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1191815,0.009937163,0.01904905,0.08773212,0.0199194,0.005450946,0.06833728,0.02055687,0.6498358],"genre_scores_gemma":[0.09853191,0.003781136,0.02943532,0.01133758,0.001424286,0.001721882,0.04195151,0.00340123,0.8084152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1195228,"threshold_uncertainty_score":0.3998435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0779223297868802,"score_gpt":0.2799066794107595,"score_spread":0.2019843496238793,"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."}}