{"id":"W2369165299","doi":"","title":"Test on Variety Comparative Brief of Canada Potato","year":2008,"lang":"en","type":"article","venue":"Science and Technology of Qinghai Agriculture and Forestry","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hardiness (plants); Yield (engineering); Variety (cybernetics); Test (biology); Agronomy; Mathematics; Biology; Statistics; Ecology; 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":[0.0003951875,0.0002928704,0.000222812,0.0005732876,0.0009043425,0.0003347158,0.0003071428,0.0002313941,0.004372758],"category_scores_gemma":[0.0006002657,0.0001059096,0.0002977438,0.0005399619,0.0003648771,0.0002139386,0.0003323425,0.0004658196,0.0002756683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484037,"about_ca_system_score_gemma":0.0006012895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04714262,"about_ca_topic_score_gemma":0.1248539,"domain_scores_codex":[0.9994904,0.00005527484,0.00002183577,0.0002315617,0.0001216939,0.00007931978],"domain_scores_gemma":[0.9992074,0.000167755,0.00006573855,0.00004210623,0.0003040172,0.0002130327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002077365,0.0006401782,0.09109788,0.0002921227,0.0001040712,0.0006623497,0.002911458,0.0001753416,0.8683062,0.0009143695,0.001292696,0.03152607],"study_design_scores_gemma":[0.00004864655,0.003599485,0.9023532,0.00002086322,0.0001148863,0.0004188405,0.001915024,0.0004514765,0.07366215,0.0001777787,0.01719677,0.00004085877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918636,0.0002302769,0.0005941639,0.00004664473,0.00003830756,0.00006075919,0.0006990847,0.00003100933,0.006436157],"genre_scores_gemma":[0.9827166,0.0001879593,0.001981778,0.0001116798,0.00001329389,0.0001099273,0.002750867,0.00002314978,0.01210479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9528574,"threshold_uncertainty_score":0.09373647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501592316536016,"score_gpt":0.2120767080994425,"score_spread":0.1970607849340824,"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."}}