{"id":"W3145562461","doi":"","title":"Dissection of Wheat Breeding in China by Marker/Trait Association","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Trait; Biology; Association (psychology); Genetics; Biotechnology; Computer science; Psychology","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":[0.0007621079,0.0004795723,0.0004168254,0.002197207,0.0008022938,0.0004108642,0.0006667871,0.0002892634,0.001071989],"category_scores_gemma":[0.0003362441,0.0004333247,0.0006053789,0.001560218,0.0003607326,0.0002929921,0.0007236073,0.0004675584,0.0002318354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009390559,"about_ca_system_score_gemma":0.00130002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01427677,"about_ca_topic_score_gemma":0.02267533,"domain_scores_codex":[0.9994829,0.00007531558,0.00004033775,0.0001864864,0.00008229788,0.0001326039],"domain_scores_gemma":[0.9997756,0.00005055832,0.0000367393,0.00003215466,0.00002836584,0.00007666904],"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":[0.0003224691,0.0001771921,0.04315132,0.00006222026,0.00007143031,0.0006832761,0.0006535628,0.0005638191,0.9284171,0.001443262,0.0001653247,0.02428901],"study_design_scores_gemma":[0.0002286795,0.0004093713,0.9169886,0.0000187585,0.0002678393,0.001026549,0.0004480746,0.005297656,0.06869444,0.0008655355,0.005702965,0.00005155193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932505,0.000205256,0.004073439,0.00005307752,0.000006609911,0.00007409816,0.0002756465,0.00003701477,0.002024224],"genre_scores_gemma":[0.9891452,0.0002454296,0.005749126,0.0001118214,0.000009990486,0.00007812165,0.001354568,0.00004139421,0.003264335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427677,"threshold_uncertainty_score":0.02838737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006397566451485055,"score_gpt":0.1952356795220191,"score_spread":0.188838113070534,"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."}}