{"id":"W6912617591","doi":"10.5281/zenodo.5953930","title":"Micromelalopha undulata","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tamil; Taxonomy (biology); Mangrove; Identification (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004998884,0.0003404623,0.0001136322,0.0007431623,0.0008442071,0.000224073,0.0002965299,0.0002804234,0.01482358],"category_scores_gemma":[0.0001716982,0.0001526645,0.0001424585,0.0003457736,0.000240444,0.0006183859,0.0006251042,0.0002674971,0.004039165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004146808,"about_ca_system_score_gemma":0.0002383985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007289099,"about_ca_topic_score_gemma":0.02037493,"domain_scores_codex":[0.9999471,0.000005327552,0.000004683277,0.00001953128,0.00001246845,0.00001089449],"domain_scores_gemma":[0.9999402,0.00001131299,0.00001857382,0.000007000156,0.00001427152,0.000008574381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005703517,0.0002266815,0.08471993,0.00124014,0.00006574011,0.002872903,0.001992037,0.001273111,0.1749603,0.005326918,0.0246403,0.7021116],"study_design_scores_gemma":[0.00004093872,0.0003652533,0.671997,0.0003860144,0.00007927283,0.007819681,0.001934812,0.0006294544,0.01372483,0.001718928,0.3012691,0.00003473811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.606395,0.008197811,0.004761578,0.0006305933,0.0002702716,0.0002686998,0.00352889,0.0003546793,0.3755925],"genre_scores_gemma":[0.92843,0.002586561,0.004532074,0.0007004949,0.00006398665,0.0001133905,0.001679189,0.00001851256,0.06187593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01482358,"threshold_uncertainty_score":0.04958981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562158261558809,"score_gpt":0.2409497110386647,"score_spread":0.2153281284230766,"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."}}