{"id":"W6969125091","doi":"10.5281/zenodo.6328925","title":"Parakiefferiella mishigami Namayandeh & Hudson 2022, sp. nov.","year":2022,"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":"Trent University","funders":"","keywords":"Seta; Tentorium; Groove (engineering); Wing; Holotype; Dorsum; Keel","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":[],"consensus_categories":[],"category_scores_codex":[0.0001631369,0.001435654,0.0005949552,0.001329245,0.002581829,0.0007952888,0.001058384,0.001016031,0.008408611],"category_scores_gemma":[0.0007075351,0.0005422609,0.0002517226,0.001390501,0.0005558853,0.00206396,0.0009468605,0.001000809,0.005138029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125114,"about_ca_system_score_gemma":0.001166473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04008054,"about_ca_topic_score_gemma":0.1057946,"domain_scores_codex":[0.999824,0.000008686548,0.00002006237,0.00006532631,0.00003995313,0.00004207447],"domain_scores_gemma":[0.9997172,0.0000411071,0.00009643421,0.00003099745,0.00006790951,0.00004634595],"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":[0.001019279,0.0002667087,0.1101155,0.002783757,0.0002801945,0.01347302,0.00509138,0.002641985,0.03684976,0.003155716,0.04852824,0.7757944],"study_design_scores_gemma":[0.0001928227,0.0002849264,0.4794857,0.001428523,0.00056962,0.01923541,0.008408532,0.001016096,0.005292973,0.001143656,0.4828136,0.0001280528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5635013,0.07234985,0.009304547,0.002210401,0.004246468,0.002032555,0.0176176,0.001041236,0.3276961],"genre_scores_gemma":[0.8737644,0.02184822,0.01657812,0.001845128,0.0003829162,0.001318567,0.007145418,0.000101323,0.07701587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04008054,"threshold_uncertainty_score":0.07969451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172785950625283,"score_gpt":0.2186678843346522,"score_spread":0.2013892892721239,"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."}}