{"id":"W4394115452","doi":"10.6084/m9.figshare.4747318","title":"16S Sequences","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000404712,0.0002236876,0.0002174046,0.00006987256,0.0003002108,0.0008668675,0.005316783,0.0002331132,0.07218961],"category_scores_gemma":[0.0004157893,0.000181319,0.00007703245,0.00005922413,0.000007463101,0.0007075486,0.002274325,0.0003209019,0.02200237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002240438,"about_ca_system_score_gemma":0.0001978992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006235598,"about_ca_topic_score_gemma":0.00001815909,"domain_scores_codex":[0.9986908,0.00002802731,0.0001465737,0.0005266364,0.0003550214,0.000252886],"domain_scores_gemma":[0.9970013,0.0000651858,0.0002872061,0.002459639,0.00007789533,0.0001087444],"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":[2.388882e-7,0.000008267746,3.645076e-8,0.00007606606,0.000005041717,0.000100819,0.000002148745,5.740472e-7,1.299329e-7,0.000002400847,0.9952075,0.004596757],"study_design_scores_gemma":[0.00004794348,0.00001931286,0.0000173729,0.001618208,0.000002737952,0.00001776003,2.911662e-7,0.000407362,0.00000785698,0.00008927778,0.9975215,0.0002504155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[6.376876e-9,0.000425462,0.0000384579,0.00005471654,0.0004042849,0.0001046275,0.9985526,0.00008184441,0.0003380002],"genre_scores_gemma":[2.291901e-7,0.00002021266,0.0008876122,0.0001705004,0.0003977419,0.00007270561,0.9981846,0.000005841141,0.0002606203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05018725,"threshold_uncertainty_score":0.9879995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05967643132135508,"score_gpt":0.3199259558984778,"score_spread":0.2602495245771227,"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."}}