{"id":"W6955117371","doi":"10.57745/gbutyk","title":"2024-05-28-Diat.barcode_release-version 12.2.xlsx","year":2024,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","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":[0.001903749,0.003104507,0.002048659,0.004166323,0.00131422,0.004159075,0.003924497,0.003375467,0.2757608],"category_scores_gemma":[0.01170484,0.001495259,0.00192207,0.006474523,0.000759494,0.002995928,0.002971143,0.002768825,0.4119023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035082,"about_ca_system_score_gemma":0.003252641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03202367,"about_ca_topic_score_gemma":0.04179075,"domain_scores_codex":[0.9982592,0.0003465169,0.0001895789,0.0005059343,0.0003530832,0.0003457026],"domain_scores_gemma":[0.9958247,0.0012309,0.0002634077,0.001169353,0.00113399,0.0003777273],"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":[0.00003679017,0.00001056871,0.0001900174,0.000257056,0.00001371515,0.000006341014,0.00001500774,0.00009087403,0.00006102384,0.0002773613,0.9982703,0.0007709584],"study_design_scores_gemma":[0.0002889218,0.00001618185,0.001848925,0.0002050373,0.00001877037,0.00003301714,0.00007531062,0.0002104779,0.0004394728,0.001546637,0.9952748,0.00004237568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003583484,0.00002099009,0.00005512639,0.00006034764,0.00002854217,0.000008821249,0.9985531,0.000645301,0.0005920418],"genre_scores_gemma":[0.000172771,0.00002719007,0.0002663592,0.00006104555,0.00001042075,0.00007872542,0.9978381,0.0004333575,0.001112081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7242392,"threshold_uncertainty_score":0.9225118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2167128247854055,"score_gpt":0.3959740737595219,"score_spread":0.1792612489741164,"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."}}