{"id":"W2367634995","doi":"","title":"Molecular Cloning and Nucleotide Sequence Analysis of the Labrador Retriever CfOLF4 Gene","year":2007,"lang":"en","type":"article","venue":"Dongwuxue zazhi","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Cloning (programming); Gene; Molecular cloning; Canis; Genetics; Biology; Nucleic acid sequence; Sequence analysis; Sequence (biology); Gene sequence; Plasmid; Recombinant DNA; Molecular biology; Peptide sequence; Medicine; Ecology; Phylogenetic tree","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":[0.0002385583,0.0003774603,0.0004611045,0.0008354469,0.0003704087,0.0002966195,0.0006599274,0.0004065142,0.002814028],"category_scores_gemma":[0.0002623486,0.0002126212,0.0005978337,0.0005845156,0.0002687261,0.000178591,0.0001612431,0.0005854345,0.001918489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004650273,"about_ca_system_score_gemma":0.0004871462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191574,"about_ca_topic_score_gemma":0.001894745,"domain_scores_codex":[0.9998456,0.00001787598,0.00001575586,0.00003713755,0.00004533136,0.00003837244],"domain_scores_gemma":[0.999841,0.00003095183,0.00003812372,0.00002124079,0.00003684458,0.00003184797],"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":[0.0002521035,0.00007258081,0.0008692633,0.0002353151,0.00001949732,0.0004584817,0.00008958141,0.0002360307,0.9892507,0.0006065927,0.0003394828,0.007570401],"study_design_scores_gemma":[0.000125413,0.00058995,0.03601822,0.0001064016,0.0001967495,0.002167057,0.0002195289,0.00267864,0.8398226,0.0006744222,0.117339,0.00006197389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8746093,0.008100068,0.08379897,0.0005603087,0.0003125816,0.0009399854,0.02108094,0.0006928424,0.009904928],"genre_scores_gemma":[0.7399324,0.007898522,0.1314445,0.0003521746,0.0001781096,0.0007852115,0.0971273,0.0003137427,0.02196803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002814028,"threshold_uncertainty_score":0.009413838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00710587331581515,"score_gpt":0.2452306804021716,"score_spread":0.2381248070863564,"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."}}