{"id":"W6973815704","doi":"10.57745/be9tjk","title":"2022-05-25-Diat.barcode-release-version 11.1.xlsx","year":2022,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":1,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.009733617,0.001980973,0.002047847,0.0009041035,0.0008744079,0.0003550962,0.01626012,0.002907303,0.1414495],"category_scores_gemma":[0.00824853,0.00224252,0.000455777,0.004148599,0.0004887255,0.001735201,0.01049843,0.01110101,0.04406037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003200048,"about_ca_system_score_gemma":0.001995934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008294608,"about_ca_topic_score_gemma":0.002243471,"domain_scores_codex":[0.9818063,0.006300874,0.001636613,0.004762341,0.003294457,0.002199353],"domain_scores_gemma":[0.9767312,0.002814081,0.001574654,0.01779578,0.000301021,0.0007833129],"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":[0.000205546,0.0006772151,0.00003692026,0.0007000472,0.0002982614,0.0005771264,0.00004256455,0.00005152727,0.0004369848,0.000008064007,0.9938935,0.003072234],"study_design_scores_gemma":[0.001723454,0.0001394045,0.00008708879,0.0003306154,0.0006450043,0.0001281864,0.0001283084,0.0004997519,0.00009052219,0.0001071174,0.9937737,0.002346873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007406915,0.008102682,0.00007078252,0.0004853074,0.003077618,0.001613891,0.9855219,0.0006879345,0.000365775],"genre_scores_gemma":[0.000002519225,0.009213425,0.002541159,0.001354524,0.001217952,0.0003362937,0.9786037,0.0006575985,0.006072856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09738912,"threshold_uncertainty_score":0.9992933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1937834111648875,"score_gpt":0.381134902597788,"score_spread":0.1873514914329005,"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."}}