{"id":"W30047633","doi":"","title":"GENETIC DIVERSITY IN POPULATIONS OF SEPIELLA JAPONICA BASED ON THE MITOCHONDRIAL DNA SEQUENCE ANALYSIS","year":2005,"lang":"en","type":"article","venue":"Health law in Canada","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haplotype; Biology; Mitochondrial DNA; Genetic diversity; Cephalopod; Cuttlefish; Nucleotide diversity; China; Zoology; Japonica; Genetics; Evolutionary biology; Geography; Gene; Fishery; Genotype; Population; Demography; Archaeology; Botany","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":[],"consensus_categories":[],"category_scores_codex":[0.0001183688,0.00005341604,0.0001433031,0.00001144014,0.0001019979,0.000002573056,0.0001443225,0.00002746052,0.0002317641],"category_scores_gemma":[0.00001668489,0.00002068861,0.00003521464,0.0004299504,0.00002987089,0.00001042766,0.00004835327,0.00007341186,6.182955e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003107494,"about_ca_system_score_gemma":0.0001979823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931279,"about_ca_topic_score_gemma":0.9998938,"domain_scores_codex":[0.9992365,0.0001269059,0.0001977091,0.000139592,0.000117463,0.0001818339],"domain_scores_gemma":[0.999613,0.0001893763,0.00006969019,0.00005837069,0.00001432055,0.00005528127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006734464,0.0001192616,0.9474497,0.00001112587,0.00001623998,0.000008675547,0.00008682058,0.006825123,0.001624359,0.005565212,0.001062078,0.03716401],"study_design_scores_gemma":[0.00008039543,0.00005055796,0.9919392,0.000004757615,0.000004795547,2.13856e-7,0.0000363726,0.00201915,0.0000185061,0.0001226225,0.005674525,0.00004891738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985707,0.00003408737,8.181623e-7,0.01364195,0.0000646929,0.0001278436,0.00005547863,0.000002414681,0.0003656838],"genre_scores_gemma":[0.9965433,0.00001300821,0.0001290545,0.003233077,0.00004156061,0.000003897512,0.00002342024,2.118835e-7,0.00001249642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04448943,"threshold_uncertainty_score":0.2537655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05077086339241778,"score_gpt":0.260069676765719,"score_spread":0.2092988133733013,"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."}}