{"id":"W6924349330","doi":"10.15454/tombyz/dshnks","title":"2018-02-23-Diat.barcode-release-version 7.xlsx","year":2019,"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":[0.001890381,0.003105585,0.002104441,0.004190565,0.001230705,0.00441333,0.003758148,0.003169691,0.2459838],"category_scores_gemma":[0.01224142,0.001377969,0.00193193,0.006222478,0.0007903764,0.003456825,0.00336333,0.002633082,0.4379758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002268,"about_ca_system_score_gemma":0.003140827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02621548,"about_ca_topic_score_gemma":0.03236233,"domain_scores_codex":[0.9981552,0.000326547,0.000226496,0.0005403202,0.0003898978,0.0003615733],"domain_scores_gemma":[0.9958556,0.001082785,0.0002185895,0.001300678,0.001172806,0.0003694847],"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":[0.00004088382,0.00001070438,0.0001929752,0.0002407126,0.00001343268,0.000007469072,0.00001689676,0.0000789984,0.00006815052,0.0002881342,0.9980776,0.0009639891],"study_design_scores_gemma":[0.0002280192,0.0000159155,0.001839915,0.0002084507,0.00001607606,0.00003942557,0.00007633179,0.0001950688,0.000439699,0.00148762,0.9954149,0.00003868082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005258671,0.00003480267,0.00007252919,0.00008636348,0.00004784314,0.000009939792,0.9979188,0.001022234,0.0007548466],"genre_scores_gemma":[0.000192317,0.00003851175,0.0002541024,0.00006213877,0.00001256592,0.00006203231,0.9976774,0.000494096,0.001206833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7540162,"threshold_uncertainty_score":0.8228979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3109017824616391,"score_gpt":0.4048481587582249,"score_spread":0.09394637629658581,"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."}}