{"id":"W6967200374","doi":"10.48668/vt8ump/c7v1mk","title":"sanderia.PacBio.fastq.gz.MD5","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":[0.001762992,0.004175587,0.002559382,0.00405964,0.002047575,0.003579389,0.0056533,0.003369852,0.0880791],"category_scores_gemma":[0.006201304,0.001091543,0.00199083,0.006720627,0.00122899,0.001929051,0.002831442,0.002152755,0.1724776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003349226,"about_ca_system_score_gemma":0.003709672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05859774,"about_ca_topic_score_gemma":0.07813758,"domain_scores_codex":[0.9980922,0.0003775488,0.000158307,0.0006143349,0.0003842613,0.0003732277],"domain_scores_gemma":[0.9973956,0.0004853846,0.0001722574,0.0008979967,0.000719495,0.0003292731],"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":[0.00007004994,0.00002216553,0.0002559292,0.0003225439,0.00001883645,0.00001092297,0.00001117038,0.000201453,0.0000678566,0.0002638919,0.9974114,0.001343812],"study_design_scores_gemma":[0.0004653751,0.0000413369,0.003039751,0.0002234368,0.00005140091,0.00008980127,0.0001286525,0.001471895,0.0009816529,0.001552576,0.9918942,0.00005994481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002166726,0.0001344416,0.0001119865,0.0001188771,0.00006753561,0.0000194294,0.9970264,0.001338121,0.0009665777],"genre_scores_gemma":[0.0004614149,0.00005924594,0.0003072741,0.00003966084,0.00001248334,0.00006163595,0.9981669,0.0001358593,0.000755491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9119209,"threshold_uncertainty_score":0.294654,"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."}}