{"id":"W4244319481","doi":"10.1007/978-0-387-39940-9_2958","title":"Lineage","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lineage (genetic); Evolutionary biology; Biology; Genetics; Gene","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009849938,0.001040777,0.001733441,0.0007283736,0.00007910367,0.00004399652,0.0009906406,0.0006457497,0.001006347],"category_scores_gemma":[0.0001864344,0.001027134,0.000405906,0.0001142053,0.0001987593,0.0003743973,0.0002841761,0.0009120678,0.01582062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043205,"about_ca_system_score_gemma":0.0003804486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002762167,"about_ca_topic_score_gemma":0.00006348949,"domain_scores_codex":[0.9948557,0.0001029781,0.0018531,0.001090973,0.00149196,0.0006052881],"domain_scores_gemma":[0.9943833,0.0002296364,0.001731282,0.002925781,0.0003553257,0.0003746804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001298033,0.0001832587,0.00004570717,0.00204442,0.0005262968,0.0008073882,0.0002027531,0.00004697563,0.0005164338,0.1901889,0.8010668,0.004241249],"study_design_scores_gemma":[0.0005373629,0.000120491,0.00001167835,0.002411912,0.0003157745,0.00007125017,0.00002076396,0.00005120234,0.00004558168,0.0001206379,0.9953359,0.0009574596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002713481,0.009503677,0.00008054727,0.00001017942,0.002112941,0.001405423,0.0244955,0.0003846203,0.96198],"genre_scores_gemma":[0.0003609471,0.003155521,0.0006600096,0.00002641575,0.003191001,0.00003574011,0.008831177,0.0005364654,0.9832027],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1942691,"threshold_uncertainty_score":0.9999069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039564407654799,"score_gpt":0.2490797830226863,"score_spread":0.2286841389461383,"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."}}