{"id":"W966142736","doi":"","title":"F3＇5＇H基因与蓝色花的形成","year":2004,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001285149,0.000247337,0.0002367651,0.0001259975,0.0001119293,0.00002683394,0.0002852428,0.0004086894,0.000375651],"category_scores_gemma":[0.00002627735,0.0002663807,0.0001002307,0.0002660021,0.0001459601,0.0001671548,0.00004880208,0.0004766421,0.001637166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009154555,"about_ca_system_score_gemma":0.00005638639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462522,"about_ca_topic_score_gemma":0.00012023,"domain_scores_codex":[0.9989074,0.00001759889,0.0002438856,0.0002564011,0.0001216016,0.0004531226],"domain_scores_gemma":[0.9993912,0.0000242479,0.00002139844,0.0004614715,0.00002179426,0.00007988498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005295492,0.0000523361,0.0003801777,0.0001161424,0.00009236189,0.0001226508,0.0005248198,0.01016271,0.0005650486,0.981279,0.001164515,0.005534917],"study_design_scores_gemma":[0.001111908,0.0001591316,0.00992359,0.0001645259,0.00006514477,0.00006907615,0.000915945,0.0002733511,0.0009843456,0.979817,0.005880377,0.0006356536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04942765,0.01378367,0.002739348,0.001115795,0.001052065,0.0001524258,0.00002491521,0.001015284,0.9306889],"genre_scores_gemma":[0.9967193,0.0009024632,0.001232823,0.00006707144,0.000210182,0.00001035993,0.00000912063,0.00003564406,0.0008130407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9472917,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007813914532154322,"score_gpt":0.197710857649953,"score_spread":0.1898969431177987,"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."}}