{"id":"W1573866825","doi":"10.1007/11554714_11","title":"Power Boosts for Cluster Tests","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Adjacency list; Computer science; Cluster (spacecraft); Genome; Component (thermodynamics); Similarity (geometry); Adjacency matrix; Theoretical computer science; Data mining; Algorithm; Artificial intelligence; Gene; Biology; Genetics; Physics; Graph","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"],"consensus_categories":[],"category_scores_codex":[0.0003382347,0.0003415362,0.0002454895,0.0001988524,0.00009181783,0.00008918777,0.0007407688,0.000346409,0.00004128124],"category_scores_gemma":[0.00006113248,0.0003188033,0.0001295211,0.00007531381,0.0002961892,0.000007013334,0.0004315762,0.0002019408,0.0000268547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007542602,"about_ca_system_score_gemma":0.0001925127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001286926,"about_ca_topic_score_gemma":0.00003939764,"domain_scores_codex":[0.9980506,0.000008967264,0.0002525928,0.0009257744,0.0003068451,0.0004551811],"domain_scores_gemma":[0.9989194,0.00005104757,0.0001169272,0.0006521301,0.0001642995,0.00009616227],"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":[0.0001029402,0.0001058617,0.0003089196,0.0001152105,0.0001041222,0.00001712015,0.0003491269,0.01655942,0.04667895,0.0005884955,0.001824232,0.9332456],"study_design_scores_gemma":[0.003315471,0.002563748,0.0009494656,0.0004849512,0.00006864568,0.0001832991,5.263336e-7,0.02715204,0.05903697,0.02772868,0.8750594,0.003456818],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0010675,0.001248519,0.9899429,0.0005712169,0.0009049555,0.0007545453,0.00002491007,0.0000217631,0.005463693],"genre_scores_gemma":[0.3636875,0.0002707041,0.6033875,0.008520094,0.005695382,0.00009572315,0.0002551298,0.0002623171,0.01782562],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9297888,"threshold_uncertainty_score":0.9999264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015600326783028,"score_gpt":0.2489881582826149,"score_spread":0.2388321550147846,"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."}}