{"id":"W6948792548","doi":"10.5281/zenodo.10307921","title":"Pleuroseta monteithi Kuwahara & Marshall 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mollusks and Parasites Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Apex (geometry); Paratype; Keel; Dorsum; Seta","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161684,0.001112027,0.000481406,0.001736392,0.001931747,0.0007270822,0.0009252888,0.001266451,0.01243187],"category_scores_gemma":[0.0005817139,0.0005020079,0.0004007354,0.001733139,0.000740379,0.001835138,0.001016634,0.001025482,0.006683307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000920172,"about_ca_system_score_gemma":0.0007942542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0306787,"about_ca_topic_score_gemma":0.07524873,"domain_scores_codex":[0.9998146,0.000009119718,0.00002404736,0.00007238698,0.00005060043,0.00002925502],"domain_scores_gemma":[0.9997018,0.00003942967,0.0001325683,0.00003888247,0.00005115997,0.00003621087],"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":[0.0005980888,0.0002475781,0.07954597,0.001917099,0.0002583243,0.007499779,0.002589613,0.001297158,0.02934154,0.001544074,0.04687391,0.8282869],"study_design_scores_gemma":[0.0001816771,0.0002233912,0.746911,0.0009712033,0.0004404675,0.01417657,0.001728524,0.0008725883,0.001751512,0.0005994661,0.2320675,0.00007615297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4580188,0.03567011,0.009140572,0.001828854,0.002680964,0.002850461,0.02117311,0.002452163,0.4661849],"genre_scores_gemma":[0.883916,0.01517943,0.01489367,0.003060432,0.0006128621,0.001455153,0.01467403,0.0002050706,0.0660034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0306787,"threshold_uncertainty_score":0.06100023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06425494139688716,"score_gpt":0.2463947003514578,"score_spread":0.1821397589545706,"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."}}