{"id":"W6910866301","doi":"10.48668/vt8ump/rk7s2t","title":"edible.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":[0.001757753,0.007333559,0.003265471,0.004972026,0.002325451,0.003792587,0.00740355,0.005209717,0.08626911],"category_scores_gemma":[0.005846187,0.001541576,0.003117033,0.006353791,0.001521762,0.002339647,0.003309359,0.003331263,0.1724052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003214788,"about_ca_system_score_gemma":0.003675748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04585858,"about_ca_topic_score_gemma":0.06588873,"domain_scores_codex":[0.9979112,0.0003584726,0.0001587038,0.0007235326,0.0004547382,0.0003933767],"domain_scores_gemma":[0.9976761,0.0005168847,0.0001390963,0.0008355692,0.0005388465,0.0002934027],"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":[0.00009394668,0.00003572489,0.0002109608,0.0004148244,0.00002565082,0.00001805816,0.00001169495,0.0002397121,0.0001594824,0.0001968761,0.9966441,0.001948957],"study_design_scores_gemma":[0.0007882923,0.00009769025,0.002862092,0.0002928773,0.00008717227,0.0002236587,0.0001417762,0.002581764,0.00230908,0.001839923,0.9886822,0.00009347744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004031933,0.0003358402,0.0002337365,0.0001836721,0.0001561826,0.00004169457,0.9937621,0.003535647,0.001347863],"genre_scores_gemma":[0.0005159987,0.00008792317,0.0004962401,0.00006559918,0.0000180227,0.00008022026,0.9976846,0.0002103715,0.0008410556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9137309,"threshold_uncertainty_score":0.288599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5530324821035331,"score_gpt":0.5411763995475676,"score_spread":0.01185608255596549,"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."}}