{"id":"W3082480248","doi":"10.1002/jmor.21241","title":"Characterization and mapping of sensilla on the head appendages of noterid larvae (Coleoptera: Noteridae), and development of a preliminary biometric method for taxa delimitation","year":2020,"lang":"en","type":"article","venue":"Journal of Morphology","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Universidad de Buenos Aires","keywords":"Biology; Appendage; Aquatic insect; Taxon; Instar; Larva; Zoology; Insect; Arthropod mouthparts; Habitat; Botany; Anatomy; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004053602,0.00006978557,0.0002357567,0.00004883221,0.00004679736,0.000006847053,0.00006123715,0.00005575212,0.00001119036],"category_scores_gemma":[0.0002107483,0.00002953015,0.00004341065,0.0002093893,0.00004455918,0.00005556368,0.00003456473,0.00005006422,1.527963e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006498058,"about_ca_system_score_gemma":0.00001324397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009043813,"about_ca_topic_score_gemma":0.000006379158,"domain_scores_codex":[0.9992186,0.00009320243,0.0004322313,0.00009329129,0.0000879273,0.00007476136],"domain_scores_gemma":[0.998696,0.0004309696,0.0006548866,0.00001904604,0.0001633535,0.0000356985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004418895,0.00003967838,0.003584886,0.00004031263,0.00002002763,0.000001275253,0.0003086514,0.000004949786,0.7440851,0.00002061078,0.000008214237,0.2514444],"study_design_scores_gemma":[0.0005072727,0.002513673,0.7465431,0.00008642674,0.00002713509,0.00005994543,0.0006169619,0.0004935265,0.2457606,0.00001885552,0.003290707,0.00008184359],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778403,0.00008182159,0.01926541,0.002530049,0.0000448316,0.0001764934,0.00005557031,0.000001755645,0.000003768102],"genre_scores_gemma":[0.9929054,0.00004211117,0.006798133,0.0001808252,0.00004209801,0.00000293076,0.00002758317,3.68697e-7,5.643993e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7429582,"threshold_uncertainty_score":0.1204204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06786194486671784,"score_gpt":0.2620049995513162,"score_spread":0.1941430546845984,"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."}}