{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001774896,0.0006505753,0.0003932474,0.001523571,0.001531548,0.003820426,0.001148767,0.001267579,0.01203341],"category_scores_gemma":[0.008026393,0.0004162,0.0009673325,0.00136115,0.005202375,0.01688667,0.002714001,0.003702091,0.002333884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476057,"about_ca_system_score_gemma":0.00123783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002285099,"about_ca_topic_score_gemma":0.002331713,"domain_scores_codex":[0.9987807,0.0004450204,0.00006258242,0.0002607768,0.0003657721,0.00008510624],"domain_scores_gemma":[0.996946,0.001739046,0.0002085033,0.0005107861,0.000431825,0.0001638237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000198957,0.000005679953,0.0002948346,0.00003532696,0.00001288121,0.00007160976,0.0004395953,0.0005410089,0.0006888663,0.9794095,0.003412442,0.01506829],"study_design_scores_gemma":[0.000003888455,0.000003133225,0.00006778228,0.00001554606,0.00001328748,0.00004784225,0.0001888298,0.001744415,0.0005562739,0.9836077,0.01374621,0.000005054313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.02209211,0.001115284,0.7737159,0.05788469,0.0009433521,0.00006205246,0.0008536687,0.0007118724,0.1426211],"genre_scores_gemma":[0.6365933,0.002737601,0.2804171,0.01334653,0.001637987,0.000278368,0.00147039,0.000526012,0.06299275],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01203341,"threshold_uncertainty_score":0.04025573,"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."}}