{"id":"W6905470689","doi":"10.15454/xetxqu/yyqjbx","title":"5_HFD2_80C.fastq.gz","year":2021,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","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":[0.001676437,0.0047811,0.002494281,0.004828576,0.00185081,0.004075503,0.005050405,0.005103562,0.131734],"category_scores_gemma":[0.008580114,0.001252342,0.002529532,0.006649772,0.0008887402,0.002584606,0.002820473,0.002831453,0.2050016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002880974,"about_ca_system_score_gemma":0.003458519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05564517,"about_ca_topic_score_gemma":0.07610857,"domain_scores_codex":[0.9979996,0.0004391088,0.0001569602,0.0006053533,0.0004488478,0.0003501078],"domain_scores_gemma":[0.9967399,0.001068759,0.000178056,0.0008652029,0.0008524148,0.0002956452],"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":[0.00006978824,0.00001867852,0.0002090759,0.0004309239,0.00002501453,0.00001420357,0.00001412524,0.0002435632,0.00009671522,0.0003721606,0.9974506,0.001055091],"study_design_scores_gemma":[0.0004829253,0.0000381637,0.002040542,0.0002882903,0.00004107015,0.00007533272,0.00008707129,0.0009203664,0.0005543877,0.001736747,0.9936821,0.00005295347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001195054,0.00009774949,0.00008059339,0.00009572427,0.00004184453,0.00001023723,0.9977292,0.0009769772,0.0008480684],"genre_scores_gemma":[0.0002535259,0.00004334422,0.0002472275,0.00005342454,0.000008555421,0.00003742143,0.998542,0.0001735646,0.0006410264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.868266,"threshold_uncertainty_score":0.4406943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5079167257328147,"score_gpt":0.4621145402885345,"score_spread":0.04580218544428011,"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."}}