{"id":"W3145156985","doi":"","title":"Breeding by Design-High Throughput Phentyping","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Throughput; Computer science; Telecommunications","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":[0.001799347,0.001202785,0.001579095,0.001070578,0.0006274612,0.0008763949,0.001303884,0.0006783999,0.005108424],"category_scores_gemma":[0.00157945,0.000972517,0.001334764,0.0009225933,0.0005893913,0.0006242204,0.002111613,0.002154071,0.004062988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006399296,"about_ca_system_score_gemma":0.001090785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007536759,"about_ca_topic_score_gemma":0.002322817,"domain_scores_codex":[0.998052,0.0005036229,0.0001565846,0.0004791048,0.0005712798,0.00023734],"domain_scores_gemma":[0.9983947,0.0005987245,0.0002312412,0.000423173,0.0002023121,0.0001498568],"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":[0.0001275322,0.0001705831,0.001173351,0.0002885126,0.00005006187,0.0001650207,0.00007898863,0.004031129,0.9263216,0.001976394,0.001229577,0.06438732],"study_design_scores_gemma":[0.0001207771,0.0007225542,0.004827171,0.00003819553,0.0001865423,0.001105959,0.00008553422,0.02112658,0.9280405,0.002251255,0.04142674,0.00006812415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07908705,0.0003246352,0.9057307,0.000272478,0.0001187415,0.001552655,0.001730045,0.005674061,0.00550961],"genre_scores_gemma":[0.1871301,0.0009081265,0.7856761,0.000569794,0.00005400953,0.002410074,0.005552423,0.002544056,0.01515532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005108424,"threshold_uncertainty_score":0.01708937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589806641191435,"score_gpt":0.2476555221077931,"score_spread":0.2317574556958787,"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."}}