{"id":"W6912659792","doi":"10.5281/zenodo.8158345","title":"Neocybaeina burnetti Bennett & Copley & Copley 2023, spec. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ImmunoPrecise (Canada)","funders":"","keywords":"Holotype; Atrium (architecture); Integument; 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":[0.0002254785,0.001435851,0.0004674363,0.001950043,0.002497692,0.0007060085,0.0009716062,0.001149849,0.01337255],"category_scores_gemma":[0.0009554579,0.0003912512,0.0001756655,0.001608337,0.000772359,0.002042757,0.001054448,0.001456965,0.007684633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002013288,"about_ca_system_score_gemma":0.001471852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04896957,"about_ca_topic_score_gemma":0.09119131,"domain_scores_codex":[0.9996881,0.00002578969,0.00002478255,0.00008672759,0.0001163341,0.0000582367],"domain_scores_gemma":[0.9995987,0.00005212887,0.00009815423,0.00002702917,0.0001583581,0.00006556552],"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":[0.0007748607,0.000329549,0.03129516,0.00145376,0.0000917233,0.004174315,0.00196216,0.001813379,0.03429716,0.005956318,0.1005587,0.817293],"study_design_scores_gemma":[0.0001788262,0.0002464876,0.1989604,0.001079913,0.0001611708,0.009916559,0.002294617,0.001048719,0.003923068,0.002360369,0.7797491,0.00008081465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2433984,0.04980503,0.01008517,0.003301271,0.003376888,0.002656481,0.01552654,0.001174974,0.6706752],"genre_scores_gemma":[0.7947635,0.01987362,0.02319751,0.005000292,0.0006998725,0.002165274,0.01666898,0.000240842,0.1373901],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04896957,"threshold_uncertainty_score":0.09736907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03799861388267402,"score_gpt":0.2351702287714967,"score_spread":0.1971716148888226,"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."}}