{"id":"W2958302734","doi":"10.11646/zoosymposia.14.1.19","title":"<p class=\"HeadingRunIn\"><strong>Discovery, dispersal, and genetic diversity of <em>Rhyacophila lobifera</em> Betten, 1934 (Trichoptera: Rhyacophilidae) in southeast Michigan, USA</strong></p>","year":2019,"lang":"en","type":"article","venue":"Zoosymposia","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biological dispersal; Geography; Watershed; Population; Range (aeronautics); Ecology; Genetic diversity; Biology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0008771982,0.001489303,0.001830092,0.0007008959,0.001038319,0.0004742296,0.002353151,0.000986054,0.004274348],"category_scores_gemma":[0.00008379132,0.001566453,0.0005989634,0.001236209,0.001534301,0.00221266,0.004124771,0.0009383934,0.004210078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009006474,"about_ca_system_score_gemma":0.000192482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007315206,"about_ca_topic_score_gemma":0.02760582,"domain_scores_codex":[0.9909518,0.0005761006,0.001484165,0.002671613,0.001740686,0.002575575],"domain_scores_gemma":[0.9961507,0.0002914475,0.0007813894,0.001721953,0.0001118376,0.0009426845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001096917,0.001592098,0.523174,0.0003675892,0.0005372508,0.0005373752,0.007647991,0.009661592,0.4409238,0.002240531,0.01152199,0.0006988205],"study_design_scores_gemma":[0.01134796,0.002520107,0.9122806,0.0004146756,0.0008865865,0.0002777234,0.001538082,0.01950184,0.00541855,0.0004892287,0.04124077,0.004083849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847105,0.0007823604,0.0001815081,0.001001475,0.001210282,0.001658913,0.0006412334,0.0001568595,0.00965686],"genre_scores_gemma":[0.9917331,0.00048514,0.0007221837,0.0006022062,0.0002631306,0.00003431094,0.000273546,0.0001433038,0.005743121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4355053,"threshold_uncertainty_score":0.9997856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00752634584578346,"score_gpt":0.1872817193359197,"score_spread":0.1797553734901363,"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."}}