{"id":"W2366951953","doi":"","title":"Study on Breeding of Hybrid Rape Qianyou No.18 With Double Low and High Yield","year":2008,"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":"Yield (engineering); Biology; Agronomy; Materials science; Composite material","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":[0.0001873442,0.0002152259,0.0003427276,0.0004181371,0.0004613654,0.0002755449,0.00029224,0.0002407101,0.001480384],"category_scores_gemma":[0.000143801,0.0001079098,0.000280567,0.0002828651,0.0001896328,0.0002141508,0.0001846597,0.0003442788,0.0002085201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003390796,"about_ca_system_score_gemma":0.0003582525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375236,"about_ca_topic_score_gemma":0.003095918,"domain_scores_codex":[0.9998879,0.00002150296,0.000006695324,0.00004125725,0.00002469784,0.0000179338],"domain_scores_gemma":[0.9998568,0.00004131251,0.00001679611,0.000008546979,0.00001543923,0.00006098621],"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":[0.0004062714,0.0002555078,0.01201202,0.00008165655,0.00002657062,0.001438747,0.0005204399,0.00007875761,0.9774065,0.0002874785,0.000100082,0.007385911],"study_design_scores_gemma":[0.0004493765,0.01027984,0.6430003,0.00004150769,0.0005191558,0.01238835,0.004610453,0.002725105,0.2981669,0.0008187876,0.02687232,0.0001279554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982703,0.0001699137,0.0005774003,0.00003656439,0.000006287547,0.00001882127,0.00007084366,0.000008396529,0.0008414602],"genre_scores_gemma":[0.9938392,0.0002266751,0.001900953,0.00006885967,0.00000765281,0.00002209908,0.0003778962,0.00001516279,0.003541495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002375236,"threshold_uncertainty_score":0.004952312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06788913896006481,"score_gpt":0.3160238138447485,"score_spread":0.2481346748846837,"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."}}