{"id":"W6893796507","doi":"10.5281/zenodo.6081331","title":"Bradysiopsis praevittata Mohrig & Kauschke, 2016, sp. n.","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; National park; Orange (colour); Adult male","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":[0.0001415703,0.0004823642,0.0002659827,0.0008069982,0.0009224798,0.0003928613,0.0004797326,0.0003634133,0.004580595],"category_scores_gemma":[0.0003415429,0.0002675336,0.0002145172,0.0004897691,0.000341988,0.0007506658,0.0007091293,0.0004172327,0.002671467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003804164,"about_ca_system_score_gemma":0.0003755977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070899,"about_ca_topic_score_gemma":0.02231456,"domain_scores_codex":[0.9998405,0.00001078771,0.00001828104,0.00006503243,0.0000491531,0.00001625769],"domain_scores_gemma":[0.9998347,0.00002747052,0.00006797061,0.0000164361,0.00003461853,0.00001890625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008408357,0.0003425284,0.1567558,0.002318664,0.0002287647,0.004264931,0.003635753,0.002826205,0.1355299,0.00294903,0.02344842,0.6668591],"study_design_scores_gemma":[0.00008098585,0.0002732973,0.8986616,0.0002907309,0.0001108814,0.005423454,0.001519234,0.0007055083,0.003308293,0.0009224302,0.08866969,0.00003395459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.721957,0.01055748,0.007571139,0.0005585374,0.0002913468,0.0006898895,0.009059273,0.0008975157,0.2484178],"genre_scores_gemma":[0.9766216,0.002146331,0.003359191,0.0003193587,0.00008337869,0.0001997707,0.002513982,0.00003004127,0.01472642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070899,"threshold_uncertainty_score":0.02129328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016098933378187,"score_gpt":0.2253216222334643,"score_spread":0.2051606328996824,"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."}}