{"id":"W2053734505","doi":"10.1071/zo09082","title":"Scanning electron microscopy of the operculum of Garra lamta (Hamilton) (Cyprinidae : Cypriniformes), an Indian hill stream fish","year":2010,"lang":"en","type":"article","venue":"Australian Journal of Zoology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"","keywords":"Operculum (bryozoa); Biology; Anatomy; Mucus; Epidermis (zoology); Epithelium; Scanning electron microscope; Teleostei; Fish <Actinopterygii>; Zoology; Fishery; Ecology; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006872478,0.0001488884,0.0003377258,0.00007725324,0.0001259755,0.000007853018,0.0007467484,0.0001606676,0.001250384],"category_scores_gemma":[0.00008753416,0.0001088267,0.0001258325,0.0001711185,0.0007831086,0.0002614368,0.000185795,0.0005673358,0.00001321335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004058787,"about_ca_system_score_gemma":0.00002923509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002336846,"about_ca_topic_score_gemma":0.009032845,"domain_scores_codex":[0.9985861,0.0001356642,0.0005595053,0.0001738418,0.0001775649,0.0003672968],"domain_scores_gemma":[0.998897,0.00004979502,0.0006263716,0.000302782,0.00003178257,0.00009230297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004678011,0.0001532948,0.9359042,0.00001545689,0.00008915687,0.00001646973,0.0009199748,0.0001250345,0.05442943,0.00008212042,0.007863548,0.0003545131],"study_design_scores_gemma":[0.0004219206,0.0006085015,0.9583771,0.00001731037,0.00005687186,0.0001040807,0.0005665179,0.000002556334,0.03707586,0.0002960414,0.002370789,0.0001024829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951668,0.000003407121,0.000003555321,0.001708398,0.0005021158,0.0001293023,0.000008185697,0.000004528858,0.002473689],"genre_scores_gemma":[0.9980153,0.00003478887,0.0005894689,0.0003813052,0.00005037936,0.000002034884,0.000001463489,0.0000101703,0.0009150471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02247285,"threshold_uncertainty_score":0.9996626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00842249595881235,"score_gpt":0.2556465431990217,"score_spread":0.2472240472402094,"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."}}