{"id":"W6950242959","doi":"10.5281/zenodo.6059521","title":"Megistophylla formosana Wang & Li, new species","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Holotype; Apex (geometry); Dorsum; Basal (medicine); Scutellum","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":[0.0001137754,0.0006440878,0.0004606577,0.001571115,0.002046834,0.0005638386,0.0007256102,0.0004596835,0.005702746],"category_scores_gemma":[0.0002413662,0.0002230214,0.0002965452,0.0012758,0.0005980796,0.001304456,0.001092063,0.0005545035,0.001284624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686011,"about_ca_system_score_gemma":0.0003666668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322999,"about_ca_topic_score_gemma":0.01551676,"domain_scores_codex":[0.9998972,0.000008802916,0.00001244256,0.00004579582,0.00002195153,0.0000137825],"domain_scores_gemma":[0.9999168,0.00001180981,0.00003455679,0.000008633851,0.00001427859,0.00001386901],"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":[0.000468752,0.0002119119,0.06092458,0.001751996,0.0002101615,0.006039774,0.004316177,0.0009038913,0.04040315,0.00561568,0.02357838,0.8555756],"study_design_scores_gemma":[0.0001845703,0.0002770349,0.3347622,0.0004369494,0.0004501407,0.02049811,0.001792467,0.00172003,0.002630778,0.004300777,0.6328068,0.0001401971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6580266,0.02367795,0.01197302,0.002380198,0.0008063773,0.0006275362,0.005618622,0.001330693,0.295559],"genre_scores_gemma":[0.956883,0.006296187,0.00701848,0.00101767,0.0003680229,0.0003162606,0.002634977,0.00004899707,0.02541636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005702746,"threshold_uncertainty_score":0.01907754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033633196696095,"score_gpt":0.2471444092192533,"score_spread":0.2068080772522923,"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."}}