{"id":"W2000466942","doi":"10.1038/418589a","title":"Thinking laterally about genes","year":2002,"lang":"en","type":"article","venue":"Nature","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Gene; Computational biology; Biology; Evolutionary biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006877114,0.00008170606,0.00007031671,0.00001660373,0.00006288892,0.00002230231,0.0002040568,0.001117758,0.00009591915],"category_scores_gemma":[0.00006601525,0.00006305455,0.00004909677,0.00004572843,0.00005088438,9.546525e-7,0.00006596485,0.0004774691,0.00003061548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003247628,"about_ca_system_score_gemma":0.000005712559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001491228,"about_ca_topic_score_gemma":0.00000534773,"domain_scores_codex":[0.9994542,0.00001711614,0.0000718442,0.0001830348,0.0001180188,0.000155799],"domain_scores_gemma":[0.9997298,0.000006213685,0.00002415803,0.0001715046,0.00002803693,0.00004034824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004360539,0.0001202267,0.01183475,0.00004640749,0.0001366778,0.00005677171,0.0003911238,0.00001129988,0.272323,0.00107538,0.294847,0.4191138],"study_design_scores_gemma":[0.0002377275,0.00009168132,0.004495312,0.00001411024,0.000006682825,0.00002405167,0.00001906731,0.00005210636,0.02268616,0.0002916813,0.9719388,0.0001425751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070819,0.06944356,0.0003298416,0.004320644,0.0008497221,0.00008909102,0.00001369217,0.0001047191,0.01776684],"genre_scores_gemma":[0.9872847,0.000674515,0.003456148,0.00349036,0.000447914,0.000003542925,0.00002425054,0.00001069669,0.004607838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6770919,"threshold_uncertainty_score":0.8621175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009994032277814108,"score_gpt":0.2542910436762211,"score_spread":0.244297011398407,"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."}}