{"id":"W6912962771","doi":"10.5281/zenodo.7399052","title":"Cheyletus eruditus","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Moorland; Taxonomy (biology); Livestock; Czech","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":[0.0002818841,0.0004797486,0.0004536618,0.001691918,0.001539698,0.0005325876,0.0005443494,0.000525962,0.01029746],"category_scores_gemma":[0.0005421328,0.0002304509,0.0002095664,0.001036361,0.0007060482,0.0008486887,0.00139021,0.0004721714,0.002951293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005465035,"about_ca_system_score_gemma":0.0003354334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00953629,"about_ca_topic_score_gemma":0.02202814,"domain_scores_codex":[0.9996749,0.00003826059,0.00002806304,0.0001057181,0.00008742832,0.00006568619],"domain_scores_gemma":[0.9998038,0.0000360923,0.00006938858,0.00002119239,0.00005556229,0.00001397843],"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":[0.001332205,0.000360601,0.1230915,0.001915014,0.0001484885,0.005927,0.00547033,0.0009231049,0.06101342,0.006188489,0.03243689,0.7611929],"study_design_scores_gemma":[0.0001781651,0.0004875851,0.6381786,0.001256842,0.0001732642,0.01442892,0.006353856,0.0008318659,0.005080333,0.002074579,0.3308755,0.00008043977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7627066,0.01803822,0.004187122,0.001039177,0.0005252387,0.0003913436,0.003847799,0.0004029871,0.2088614],"genre_scores_gemma":[0.9687264,0.003257808,0.002026098,0.0005776505,0.0001011146,0.0001288927,0.001655996,0.00003291916,0.02349298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01029746,"threshold_uncertainty_score":0.03444839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455864812290133,"score_gpt":0.2052077599360169,"score_spread":0.1706491118131155,"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."}}