{"id":"W6886889343","doi":"10.15454/tombyz/v7suf3","title":"2021-06-25-Diat.barcode-release-version 10.1.xlsx","year":2021,"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":[0.001985142,0.00325633,0.002124269,0.004151413,0.001279144,0.004157193,0.004008713,0.003473781,0.2664693],"category_scores_gemma":[0.01179386,0.001563996,0.001979862,0.006481495,0.0007491366,0.003234103,0.003005439,0.002948864,0.399846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040351,"about_ca_system_score_gemma":0.003236414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02929956,"about_ca_topic_score_gemma":0.03861027,"domain_scores_codex":[0.9982226,0.00034254,0.0002053011,0.0005338495,0.000348363,0.0003473868],"domain_scores_gemma":[0.995738,0.001310993,0.0002758676,0.001213233,0.001073021,0.0003887938],"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":[0.00004004312,0.00001196989,0.0002061095,0.0003123468,0.00001500038,0.000007110943,0.00001721417,0.0001044973,0.00006694662,0.000305963,0.9980778,0.0008350487],"study_design_scores_gemma":[0.000323671,0.00001817557,0.001965542,0.0002339167,0.0000203833,0.00003662872,0.00007819694,0.0002357494,0.0004818188,0.00178085,0.9947779,0.00004723169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003350532,0.00002053414,0.00005796747,0.00005258931,0.00002520672,0.000009043258,0.9985935,0.0006989915,0.0005086178],"genre_scores_gemma":[0.0001623546,0.00002721892,0.0002791175,0.00005454824,0.000009136606,0.00007913572,0.9980786,0.0004418595,0.0008680457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7335306,"threshold_uncertainty_score":0.8914287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2083598061674009,"score_gpt":0.3842978480042054,"score_spread":0.1759380418368046,"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."}}