{"id":"W2379384853","doi":"","title":"High-yielding Cultivation Technology and Demonstration Effect of Qianyou No.16","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Horticulture; Agricultural engineering; Mathematics; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000227902,0.0002821212,0.0002623311,0.0002712407,0.0002634319,0.0002260241,0.0001968478,0.0002554744,0.001956708],"category_scores_gemma":[0.0001796374,0.0001443785,0.0003001856,0.0003040429,0.0002027164,0.0002299134,0.0002673857,0.0004473621,0.0004729218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135526,"about_ca_system_score_gemma":0.0004027773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008031976,"about_ca_topic_score_gemma":0.001128471,"domain_scores_codex":[0.9999139,0.00001175678,0.000007814665,0.00002075133,0.000035023,0.00001061352],"domain_scores_gemma":[0.9999002,0.00002229866,0.00001699499,0.00001483967,0.00001709676,0.00002859772],"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":[0.00003299195,0.00001322531,0.0001629586,0.00003916486,0.000002235104,0.00007027477,0.00002315264,0.00004592297,0.9974297,0.0001961651,0.00003586355,0.001948342],"study_design_scores_gemma":[0.00001431026,0.0002281033,0.0024964,0.000005235172,0.00001661533,0.0001837727,0.00001953203,0.0004777506,0.9912246,0.0002273907,0.005099142,0.000007113583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578202,0.002559508,0.02668138,0.000408996,0.0001752361,0.0001468481,0.0004925352,0.0002085494,0.01150663],"genre_scores_gemma":[0.97217,0.001057101,0.01595435,0.0000784541,0.00001622958,0.00006022246,0.0005356913,0.00004093446,0.0100871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001956708,"threshold_uncertainty_score":0.006545842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00959767761345194,"score_gpt":0.314200791831715,"score_spread":0.304603114218263,"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."}}