{"id":"W6950347586","doi":"10.5281/zenodo.5835099","title":"Laboulbenia philonthi Thaxt.","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appendage; Genus; Czech; Taxonomy (biology); French horn","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":[0.00008200248,0.0004889412,0.0002584619,0.001414652,0.001492389,0.0004565115,0.000380449,0.0005670151,0.05249616],"category_scores_gemma":[0.0003710388,0.0002455539,0.0001011397,0.0007649774,0.000466925,0.001526809,0.0009406691,0.0005623239,0.01048098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007786917,"about_ca_system_score_gemma":0.0003360031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124728,"about_ca_topic_score_gemma":0.01783286,"domain_scores_codex":[0.999912,0.00001013629,0.000006069131,0.00003125434,0.00002519169,0.0000153817],"domain_scores_gemma":[0.9998542,0.00004212801,0.0000436883,0.00001118487,0.00003063592,0.00001809979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006002508,0.0000786104,0.01554031,0.001591398,0.00003029534,0.004765708,0.003247114,0.0007449362,0.04554065,0.005857313,0.1063264,0.815677],"study_design_scores_gemma":[0.0001101188,0.0002149583,0.2522029,0.001163156,0.00008846049,0.007121611,0.003905512,0.0009793229,0.00433461,0.001847574,0.7279881,0.0000436556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.271532,0.02663738,0.0100099,0.003680122,0.0018373,0.0007988376,0.01302469,0.001136271,0.6713436],"genre_scores_gemma":[0.8828872,0.004205436,0.005016569,0.001593147,0.0004162018,0.0004564622,0.004675983,0.00008418688,0.1006649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05249616,"threshold_uncertainty_score":0.1756172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06048512957244929,"score_gpt":0.1993978780326416,"score_spread":0.1389127484601923,"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."}}