{"id":"W1208282387","doi":"","title":"柱型苹果开花抑制基因 FLOWERING LOCUS C 基因的克隆与表达分析","year":2014,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007179049,0.0004537462,0.0004571749,0.0009780886,0.001121254,0.00193249,0.0004745757,0.0006819743,0.004726747],"category_scores_gemma":[0.0007510937,0.0003356742,0.0007600858,0.0009929943,0.001085187,0.001104945,0.0003328041,0.001116968,0.002115525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002375808,"about_ca_system_score_gemma":0.00193153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006215399,"about_ca_topic_score_gemma":0.004900401,"domain_scores_codex":[0.9991003,0.00007936978,0.0000451533,0.000371859,0.0002787166,0.0001246091],"domain_scores_gemma":[0.9995016,0.00009812879,0.00007705406,0.00004897344,0.0002042838,0.00006985954],"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":[0.0006716984,0.0001040028,0.02319457,0.0008231187,0.0001326145,0.0006184654,0.001083092,0.002893998,0.7683136,0.01593067,0.007675035,0.1785591],"study_design_scores_gemma":[0.0001273517,0.0003759718,0.0822104,0.000197206,0.0003725406,0.001771347,0.001459879,0.01235208,0.6572095,0.01310052,0.2305259,0.0002972428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5751169,0.01932569,0.209731,0.005018285,0.001404614,0.000602257,0.01071828,0.003688957,0.1743941],"genre_scores_gemma":[0.8961837,0.002852788,0.05832798,0.001125373,0.0001924787,0.0002223455,0.004307393,0.0003266764,0.03646133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006215399,"threshold_uncertainty_score":0.01723778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005966709630416811,"score_gpt":0.2188054551082995,"score_spread":0.2128387454778827,"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."}}