{"id":"W6969030655","doi":"10.5281/zenodo.6049829","title":"Chaetozone elakata Lavesque 2017, new species","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Paratype; Dorsum; Crustacean; Bay","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001277699,0.0003267506,0.0001970749,0.00120423,0.001252383,0.0004090518,0.0004526378,0.0004104845,0.01385573],"category_scores_gemma":[0.0003647006,0.0001227119,0.0001268237,0.0005926484,0.0006829564,0.0006379797,0.0008245921,0.0004697013,0.002062397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000775582,"about_ca_system_score_gemma":0.0005896703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121406,"about_ca_topic_score_gemma":0.06824163,"domain_scores_codex":[0.9998927,0.000008561097,0.000009247612,0.00003127884,0.00003305084,0.0000251259],"domain_scores_gemma":[0.9998698,0.00001739018,0.00002870505,0.00001087806,0.00005709247,0.00001610599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004724992,0.0001060721,0.1186685,0.001144995,0.00009883063,0.003576566,0.007306071,0.0003703423,0.01928889,0.009560999,0.0284701,0.8109362],"study_design_scores_gemma":[0.00006154011,0.0001921275,0.3199611,0.0007091491,0.00007407357,0.004894102,0.003409151,0.0003112819,0.0007427139,0.001307453,0.6683125,0.00002471599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5269234,0.01880978,0.004043905,0.001035162,0.0007926779,0.0004814111,0.002522927,0.0005942244,0.4447965],"genre_scores_gemma":[0.9458948,0.004490509,0.004266483,0.0004968988,0.0004081889,0.0002135623,0.002582212,0.00004085049,0.04160645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02121406,"threshold_uncertainty_score":0.04635203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06315830357931596,"score_gpt":0.2795185887591778,"score_spread":0.2163602851798618,"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."}}