{"id":"W6886663299","doi":"10.15454/tombyz/xmlm3n","title":"2020-01-01-Diat.barcode-release-version 8.xlsx","year":2020,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.002004447,0.002703513,0.001676849,0.004385158,0.001062302,0.003677144,0.003159767,0.002893949,0.2237219],"category_scores_gemma":[0.01165409,0.001317885,0.001686518,0.006826722,0.0006686141,0.002848108,0.00250869,0.002613921,0.3230701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002046318,"about_ca_system_score_gemma":0.003561179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03709395,"about_ca_topic_score_gemma":0.04067887,"domain_scores_codex":[0.9982115,0.0003367932,0.0002256155,0.0005105831,0.0003775939,0.0003379424],"domain_scores_gemma":[0.9949813,0.001548277,0.0003364086,0.00135064,0.001374672,0.0004086431],"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":[0.00004293835,0.00001171465,0.0002710756,0.0002878897,0.0000149961,0.000008149025,0.00001886133,0.0001253165,0.00008514712,0.0003895085,0.9977558,0.0009884888],"study_design_scores_gemma":[0.00023507,0.00001482235,0.002234166,0.0001898732,0.00001687791,0.00003200534,0.00007522995,0.0001868439,0.0004461423,0.001315724,0.9952124,0.00004077419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000389669,0.00001934661,0.00005690896,0.00005396379,0.00002552823,0.000008066712,0.998696,0.00055282,0.0005483885],"genre_scores_gemma":[0.0001839893,0.00002864797,0.0002654921,0.00005894732,0.000008657875,0.00006167865,0.9980749,0.0003578778,0.0009597503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7762781,"threshold_uncertainty_score":0.7484243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047277219170288,"score_gpt":0.3783488141823055,"score_spread":0.1736210922652767,"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."}}