{"id":"W6924143032","doi":"10.15454/tombyz/coapzo","title":"2020-01-01-Diat.barcode-release-version 8.1.xlsx","year":2020,"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":[0.002604175,0.003080121,0.002151375,0.00500018,0.001272762,0.004501407,0.003800502,0.002925225,0.2971536],"category_scores_gemma":[0.01434991,0.001785237,0.002081721,0.007297401,0.0008274469,0.003482757,0.003135215,0.003167657,0.4312681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034276,"about_ca_system_score_gemma":0.003866007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02771392,"about_ca_topic_score_gemma":0.03945486,"domain_scores_codex":[0.9978808,0.0003907207,0.0002767393,0.0006546436,0.0004006923,0.0003965642],"domain_scores_gemma":[0.9944491,0.001734112,0.0004109281,0.001515275,0.001402702,0.0004879146],"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":[0.00004394779,0.00001132045,0.0003078494,0.000324916,0.00001572759,0.000007050749,0.00002046122,0.00008727967,0.0000745228,0.0003018398,0.9978629,0.0009422851],"study_design_scores_gemma":[0.0002461663,0.00001460076,0.002702578,0.0002257611,0.00002161442,0.00003488255,0.00007396929,0.0001531141,0.000504193,0.001587171,0.9943867,0.00004932255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003723694,0.00002119897,0.00008489029,0.00005155672,0.00003154639,0.00001163489,0.9983606,0.0008294632,0.0005718459],"genre_scores_gemma":[0.0001687467,0.00002979011,0.0003721238,0.00007035737,0.00001204479,0.0001143747,0.997282,0.0006800998,0.001270393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7028464,"threshold_uncertainty_score":0.9940777,"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."}}