{"id":"W2884798430","doi":"10.1089/cmb.2018.0068","title":"Dynamic Alignment-Free and Reference-Free Read Compression","year":2018,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Menzies Centre for Australian Studies, King's College London, University of London","keywords":"Computer science; Free water; Environmental science","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":[0.0006554511,0.001036126,0.0006507601,0.001811882,0.0004638234,0.0007069532,0.001692726,0.0009383175,0.002704022],"category_scores_gemma":[0.003710571,0.0002560968,0.0006878279,0.001885787,0.0005143846,0.001396346,0.0009826187,0.0009809157,0.001604127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004352616,"about_ca_system_score_gemma":0.0008129741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149927,"about_ca_topic_score_gemma":0.001983524,"domain_scores_codex":[0.9990225,0.000133476,0.00008399512,0.0002228798,0.0004596282,0.00007756463],"domain_scores_gemma":[0.9978435,0.0006714685,0.0001462406,0.0007188509,0.0005687185,0.00005126689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000539332,0.0001611013,0.0009797638,0.0004912585,0.00007596558,0.000456298,0.0002986888,0.05458014,0.1131245,0.01287163,0.01657068,0.7998507],"study_design_scores_gemma":[0.0001604267,0.0003890865,0.001871452,0.00009599052,0.0001029408,0.002090649,0.0001923862,0.5446744,0.3874311,0.01411487,0.04872379,0.0001528133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04404614,0.00259778,0.9361342,0.0004276668,0.0004549104,0.0002277112,0.001403927,0.009696485,0.005011281],"genre_scores_gemma":[0.2080154,0.001370143,0.7747545,0.0004080867,0.0002367328,0.0003333248,0.005905609,0.001053183,0.007922926],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002704022,"threshold_uncertainty_score":0.009045839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813697689699842,"score_gpt":0.2940232905158488,"score_spread":0.2758863136188504,"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."}}