{"id":"W6929855222","doi":"10.5281/zenodo.10526713","title":"Eucalathis malgachensis Bitner & Logan 2016, n. sp.","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Dorsum; Population; Fibre type; Reference values; Holotype","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":[0.0001011274,0.0005452826,0.0002641414,0.001130786,0.001206047,0.0003238453,0.0004220371,0.0004044508,0.008032085],"category_scores_gemma":[0.0003072034,0.0001837432,0.0001187923,0.0007874641,0.0005486743,0.0007891095,0.0006898423,0.0003840892,0.001861079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717299,"about_ca_system_score_gemma":0.0003658367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005135283,"about_ca_topic_score_gemma":0.01864804,"domain_scores_codex":[0.9998932,0.00001069535,0.00001076024,0.00004707987,0.00002611057,0.00001220088],"domain_scores_gemma":[0.9999,0.00002455998,0.00003470439,0.00001186321,0.00001851379,0.00001036502],"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":[0.001112782,0.0002377735,0.1107512,0.00280049,0.0002039316,0.01103455,0.00437328,0.002909946,0.05240647,0.004965468,0.03081729,0.7783868],"study_design_scores_gemma":[0.0001274797,0.0002299473,0.6846936,0.00112044,0.0002122637,0.01558704,0.003165545,0.001180497,0.004215067,0.002457587,0.2869601,0.00005049865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7104352,0.01499611,0.004165291,0.0009095293,0.0003925607,0.0004746615,0.007213617,0.0004325093,0.2609805],"genre_scores_gemma":[0.9759124,0.002353008,0.002828175,0.0004311519,0.00008843638,0.0001287595,0.001853423,0.00002009985,0.0163847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008032085,"threshold_uncertainty_score":0.02687001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023859547189532,"score_gpt":0.2417835566211604,"score_spread":0.2179240094316284,"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."}}