{"id":"W6950307526","doi":"10.5281/zenodo.6485724","title":"Filellum serpens","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serpens; Genus; Type species; Nomenclature; Type (biology); Specific name; Key (lock)","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":[0.0002236986,0.001322612,0.0004654084,0.003193375,0.002456859,0.0008565146,0.0009800703,0.0008415402,0.03730556],"category_scores_gemma":[0.0009682817,0.0002336831,0.0002974155,0.001252668,0.001052753,0.002232454,0.001781101,0.0009515986,0.01025142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585336,"about_ca_system_score_gemma":0.0007179787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146251,"about_ca_topic_score_gemma":0.01341132,"domain_scores_codex":[0.9996837,0.00003667844,0.00002259359,0.00010677,0.00009961138,0.00005054982],"domain_scores_gemma":[0.9996508,0.00008201154,0.0001225631,0.00004179522,0.00007588264,0.00002688804],"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":[0.0003354209,0.0000929259,0.006565277,0.001447174,0.00004896547,0.003128432,0.001623435,0.001178673,0.01306397,0.01145002,0.05545551,0.9056101],"study_design_scores_gemma":[0.0000504169,0.0001442334,0.03996587,0.0009949509,0.00006091654,0.00699725,0.0007137508,0.0004234572,0.003714222,0.002861964,0.9440323,0.00004068945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1414613,0.05995729,0.009134931,0.002994111,0.002473109,0.0007050632,0.008704995,0.002326211,0.772243],"genre_scores_gemma":[0.8309627,0.01000383,0.008226668,0.00228801,0.0009107267,0.0002138531,0.004425794,0.0001771675,0.1427913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03730556,"threshold_uncertainty_score":0.1247995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161283061213912,"score_gpt":0.2320924996321657,"score_spread":0.2004796690200266,"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."}}