{"id":"W2472144052","doi":"10.11646/zootaxa.4137.1.1","title":"Lenticellaria and Hillerella, new kraussinoid genera (Kraussinoidea, Brachiopoda) from Indo-Pacific and Red Sea waters: evolution in the subfamily Megerliinae","year":2016,"lang":"en","type":"article","venue":"Zootaxa","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Biology; Indo-Pacific; Sensu stricto; Archipelago; Genus; Subfamily; Ecology; Oceanography; Zoology; Geology","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":[0.0001875798,0.0002455267,0.0001655553,0.00134252,0.0009054099,0.0008075316,0.0002878845,0.0001846778,0.001536137],"category_scores_gemma":[0.0003102403,0.0001714917,0.0001483876,0.0007226088,0.0006223114,0.000646772,0.0007901998,0.0003629705,0.0004941904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004038646,"about_ca_system_score_gemma":0.0002911679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00593878,"about_ca_topic_score_gemma":0.02878886,"domain_scores_codex":[0.9998976,0.00001134274,0.00001292281,0.00003809346,0.00002041031,0.00001970928],"domain_scores_gemma":[0.9997836,0.00003345321,0.00008003441,0.00002212027,0.00003657891,0.00004417092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004518535,0.0001021027,0.7179378,0.0001605993,0.0000983812,0.001028926,0.007212537,0.0001497204,0.07052025,0.0004355328,0.0002628514,0.2016395],"study_design_scores_gemma":[0.000006264799,0.00007205382,0.9938006,0.00002774668,0.00002796963,0.001626072,0.001261854,0.0001204143,0.0005826182,0.00009618419,0.0023681,0.00001020241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965751,0.0006384024,0.0002225619,0.00002179997,0.000006006442,0.00001382578,0.00006824757,0.00001089048,0.002443146],"genre_scores_gemma":[0.996705,0.0007214861,0.0012261,0.00003565144,0.00001360173,0.00001653181,0.0002863178,0.00000565767,0.0009897122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00593878,"threshold_uncertainty_score":0.0118084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436994547002259,"score_gpt":0.2077448559548665,"score_spread":0.1933749104848439,"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."}}