{"id":"W6968157631","doi":"10.5281/zenodo.10793359","title":"Rhagomicrus bonvouloiri","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Period (music); Table (database); North west","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":[0.0001656228,0.0003980594,0.0001935659,0.001067844,0.001263014,0.0002663913,0.0003166361,0.0003099919,0.005023018],"category_scores_gemma":[0.0002362768,0.0001347528,0.00008769889,0.0004038458,0.0005456954,0.0004563274,0.0008349546,0.0002775426,0.001276292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005154391,"about_ca_system_score_gemma":0.0002738214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424983,"about_ca_topic_score_gemma":0.0507479,"domain_scores_codex":[0.9998418,0.00001704902,0.000007257154,0.00005636217,0.00004313128,0.00003433489],"domain_scores_gemma":[0.9999393,0.00001155607,0.00001851152,0.000005823442,0.00001276433,0.00001201823],"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":[0.0006808312,0.0001346055,0.1387627,0.001082767,0.00006187181,0.002971727,0.005428225,0.001716819,0.05471114,0.01031482,0.01065838,0.7734761],"study_design_scores_gemma":[0.00003949924,0.0003545574,0.7072569,0.0007596695,0.00005959062,0.009878163,0.002941831,0.001181029,0.004845185,0.002759546,0.269871,0.00005309672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7695443,0.008346912,0.002087051,0.0002485827,0.0002132579,0.0001035314,0.0008611432,0.0002225595,0.2183725],"genre_scores_gemma":[0.9867991,0.0009661486,0.001453799,0.0002066998,0.0000362133,0.00002613759,0.0005780148,0.00001344749,0.009920415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424983,"threshold_uncertainty_score":0.02833378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03763349143993485,"score_gpt":0.2146418074632205,"score_spread":0.1770083160232856,"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."}}