{"id":"W917245649","doi":"","title":"Intron Polymorphisms： Species-specific and Interspecies-comparable Markers","year":2007,"lang":"ja","type":"article","venue":"分子植物育种","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Genetics; Intron; Evolutionary biology; Computational biology; Gene","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":[0.0003570363,0.0001855945,0.0002266921,0.0007047954,0.0002347841,0.0004472485,0.0003299277,0.0003210785,0.002974812],"category_scores_gemma":[0.0005723581,0.0001560773,0.0002018554,0.0006432355,0.0002915801,0.0004858042,0.0002992155,0.0004121238,0.0005119513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001699168,"about_ca_system_score_gemma":0.0001115352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003258888,"about_ca_topic_score_gemma":0.0006992295,"domain_scores_codex":[0.9997316,0.00003999168,0.0000270097,0.0001460469,0.00003447067,0.00002084811],"domain_scores_gemma":[0.9993402,0.0002752029,0.0001697675,0.00008189861,0.00005777843,0.00007510502],"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":[0.0006421797,0.00007063229,0.03357545,0.0001308328,0.0001184937,0.000202907,0.0002314199,0.0002773413,0.9320957,0.005538787,0.0003027663,0.02681364],"study_design_scores_gemma":[0.0001184725,0.0004115047,0.6934156,0.00007858461,0.0005342602,0.002684812,0.0003994298,0.002159349,0.2625316,0.01197245,0.02561776,0.00007620416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853269,0.0007680314,0.006572241,0.0001027293,0.0000400052,0.00001081259,0.0009791774,0.0000808384,0.006119191],"genre_scores_gemma":[0.9919892,0.0003310236,0.00340998,0.00009825501,0.00003231771,0.00001232552,0.001817175,0.00006100694,0.002248742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002974812,"threshold_uncertainty_score":0.009951711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240614295157099,"score_gpt":0.229537126466815,"score_spread":0.217130983515244,"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."}}