{"id":"W6912433004","doi":"10.5281/zenodo.4763961","title":"Bolshecapnia rogozera","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Sternum; Margin (machine learning); Apex (geometry)","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":[0.00008538126,0.000444377,0.000353656,0.002178081,0.001253211,0.0004905512,0.000428026,0.0003529307,0.01371226],"category_scores_gemma":[0.0002506072,0.0002115926,0.0001300328,0.001068418,0.00071092,0.0005483355,0.001300016,0.0005123663,0.003563302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000971634,"about_ca_system_score_gemma":0.0003376517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01808293,"about_ca_topic_score_gemma":0.0523011,"domain_scores_codex":[0.9999036,0.000007493656,0.000005417921,0.00003373755,0.00002749836,0.00002227578],"domain_scores_gemma":[0.999908,0.00001056365,0.00003322105,0.00001196824,0.00001963956,0.00001653408],"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":[0.001873073,0.0003001141,0.07053196,0.003033121,0.0001985923,0.003775491,0.005823422,0.00108522,0.1791152,0.01022777,0.06304847,0.6609876],"study_design_scores_gemma":[0.000150902,0.0003269967,0.5613708,0.0008225252,0.0001544219,0.003057603,0.002760694,0.0003692757,0.00531922,0.001356442,0.424253,0.00005818479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.606432,0.00833473,0.001277006,0.000758221,0.0001803349,0.0003740466,0.004271956,0.0005837237,0.3777879],"genre_scores_gemma":[0.9639009,0.002202113,0.00146008,0.0004936435,0.00006622664,0.0001621395,0.003377024,0.00005634697,0.02828153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01808293,"threshold_uncertainty_score":0.04587209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440302635414812,"score_gpt":0.1861448747592274,"score_spread":0.1717418484050793,"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."}}