{"id":"W6966470483","doi":"10.48668/vt8ump/1elgza","title":"sanderia.PacBio.fastq","year":2023,"lang":"en","type":"dataset","venue":"CUHK Research Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001849942,0.005080441,0.002975535,0.004397496,0.002230019,0.003867063,0.006334874,0.00399324,0.07999779],"category_scores_gemma":[0.006050076,0.001254639,0.002384999,0.006766827,0.001368711,0.00205733,0.002942649,0.002569172,0.1603776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003319271,"about_ca_system_score_gemma":0.00402222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05927213,"about_ca_topic_score_gemma":0.08283284,"domain_scores_codex":[0.9979512,0.0004012095,0.0001578249,0.0006657573,0.0004192937,0.0004046409],"domain_scores_gemma":[0.9974568,0.0005074025,0.000149237,0.0008974393,0.0006558149,0.0003333113],"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":[0.00007190575,0.00002554597,0.0002156532,0.000309321,0.00002015048,0.00001300401,0.00001062837,0.0002038981,0.0000844535,0.0002270649,0.9973687,0.001449678],"study_design_scores_gemma":[0.0005704417,0.00005560492,0.003002016,0.0002358054,0.00006119242,0.0001288848,0.0001414046,0.002034097,0.0012589,0.001738426,0.9906998,0.000073437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003054265,0.000198576,0.0001565952,0.0001568834,0.000107975,0.00002687083,0.9958888,0.002000209,0.001158721],"genre_scores_gemma":[0.0005070237,0.00006731552,0.0003725784,0.00004582462,0.00001509724,0.00007056678,0.9979512,0.0001620332,0.0008083789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9200022,"threshold_uncertainty_score":0.2676193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5571518294041781,"score_gpt":0.5380763801755616,"score_spread":0.01907544922861648,"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."}}