{"id":"W6943329462","doi":"10.15454/tombyz/ieguxb","title":"2020-09-14-Diat.barcode-release-version 9.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":[0.0017723,0.002986007,0.001821033,0.003792875,0.001106385,0.003838871,0.003593852,0.003024338,0.2267402],"category_scores_gemma":[0.009785987,0.001402522,0.001810163,0.00617711,0.0006803219,0.003146712,0.002851067,0.002635965,0.3787136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195192,"about_ca_system_score_gemma":0.003094779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03578792,"about_ca_topic_score_gemma":0.04264326,"domain_scores_codex":[0.9984097,0.0002987467,0.0001732782,0.0004769395,0.0003197419,0.0003216154],"domain_scores_gemma":[0.9964364,0.0009260233,0.000221665,0.001091247,0.0009724727,0.0003522239],"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":[0.00003843706,0.00001046231,0.0002021567,0.0002185516,0.00001314121,0.000005897444,0.00001437246,0.0001079934,0.00006130824,0.0003033895,0.9981833,0.0008409317],"study_design_scores_gemma":[0.0002713625,0.00001723228,0.002256638,0.0002000243,0.00001717486,0.00003296822,0.00007774397,0.0002666188,0.0004547175,0.001663533,0.9946975,0.00004447674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003704031,0.00002063466,0.00005459313,0.00005377468,0.00002908048,0.000007650511,0.9985037,0.0007014096,0.00059213],"genre_scores_gemma":[0.0001621551,0.0000262296,0.0002283006,0.00005295949,0.000009059107,0.00005427596,0.9982384,0.000352021,0.0008764744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7732598,"threshold_uncertainty_score":0.7585217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2154480837988533,"score_gpt":0.3814856485953743,"score_spread":0.166037564796521,"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."}}