{"id":"W2887720734","doi":"10.22092/irn.2018.116444","title":"ساخت کتابخانه بارکد DNA برای فلور کانادا با استفاده از مجموعه های گیاهی","year":2018,"lang":"fa","type":"article","venue":"طبیعت ایران","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DNA; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008180599,0.0002910885,0.0003542455,0.0008553731,0.001252276,0.001628533,0.0003394204,0.0007597501,0.01492893],"category_scores_gemma":[0.001506263,0.0004920283,0.0003313282,0.0009804085,0.0011123,0.0007795792,0.0006197078,0.001266086,0.007433979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488063,"about_ca_system_score_gemma":0.001811239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003312217,"about_ca_topic_score_gemma":0.005238879,"domain_scores_codex":[0.9991609,0.000112914,0.00004686224,0.0002380345,0.0003544419,0.00008695607],"domain_scores_gemma":[0.9991717,0.0002050961,0.0001448734,0.00006450502,0.0003217347,0.00009217071],"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":[0.0006250415,0.000155212,0.007478347,0.0006554035,0.00007441252,0.0005690097,0.001716282,0.0006405197,0.7550173,0.01970734,0.005540821,0.2078202],"study_design_scores_gemma":[0.0000767171,0.0006483598,0.04698491,0.0003255597,0.0001269816,0.001968513,0.002734405,0.0009463009,0.576514,0.01461449,0.3549459,0.0001138367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6113306,0.01366887,0.109909,0.00954896,0.001924857,0.0006889873,0.005777359,0.000878979,0.2462724],"genre_scores_gemma":[0.6655212,0.008090142,0.1072485,0.00140046,0.0002669993,0.0006462828,0.005432188,0.000444251,0.2109499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9966878,"threshold_uncertainty_score":0.04994226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116298170277629,"score_gpt":0.2376515074728288,"score_spread":0.2264885257700525,"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."}}