{"id":"W2989407054","doi":"10.1007/s00435-019-00469-x","title":"Smooth, striated, or rough: how substrate textures affect the feeding performance of tadpoles with different oral morphologies","year":2019,"lang":"en","type":"article","venue":"Zoomorphology","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biology; Tadpole (physics); Forage; Grazing; Substrate (aquarium); Larva; Morphology (biology); Zoology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000129907,0.0001587069,0.0001629543,0.0002814206,0.0001747578,0.0006382035,0.0001490258,0.0004088932,0.001617141],"category_scores_gemma":[0.0004351028,0.0001967634,0.0002043492,0.0001474423,0.0003342996,0.0003350009,0.00030711,0.0004055195,0.0001689072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715992,"about_ca_system_score_gemma":0.00009073505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136977,"about_ca_topic_score_gemma":0.005896402,"domain_scores_codex":[0.9999158,0.00001764942,0.000005156674,0.00002664297,0.00001124901,0.00002355851],"domain_scores_gemma":[0.9997814,0.00005158344,0.0000579244,0.000009594408,0.00002646631,0.00007304447],"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":[0.002552289,0.0002783665,0.1777368,0.0001141303,0.0001837549,0.0002302215,0.0007757515,0.0004315388,0.8003237,0.0001938236,0.0004217085,0.01675787],"study_design_scores_gemma":[0.0000110536,0.0002908509,0.9930733,0.000006271682,0.00004721311,0.0000832386,0.0005499221,0.0009415713,0.004795996,0.00005054472,0.0001367538,0.00001328115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99971,0.00003503497,0.00007310707,0.000009189347,0.000002165822,0.000001793871,0.00003019658,0.000001843664,0.0001365307],"genre_scores_gemma":[0.9993712,0.00002377522,0.0001931376,0.00002056397,0.000001447526,0.000004690008,0.00005797335,0.000004686055,0.0003224505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002136977,"threshold_uncertainty_score":0.005409837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769842277086648,"score_gpt":0.2226032265121604,"score_spread":0.2049048037412939,"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."}}