{"id":"W6911629789","doi":"10.5281/zenodo.12551925","title":"Righiodrilus undetermined","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Plateau (mathematics); Sample (material); Juvenile; Karst","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":[0.0001745029,0.0005392357,0.0004103411,0.001464807,0.00116668,0.0004036553,0.0008002651,0.0006160978,0.02572181],"category_scores_gemma":[0.0004548086,0.0001828735,0.0001920591,0.0009258787,0.0007338994,0.0006870388,0.0008165595,0.0003759099,0.007940135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005293422,"about_ca_system_score_gemma":0.0004161397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008750739,"about_ca_topic_score_gemma":0.02263547,"domain_scores_codex":[0.9996547,0.00002394818,0.00002278638,0.0001520737,0.00007856757,0.00006801401],"domain_scores_gemma":[0.9996648,0.00004446336,0.0001270436,0.0000824704,0.00004468436,0.00003652639],"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":[0.001928303,0.0003765658,0.1326425,0.00220367,0.0001360747,0.005344093,0.005258123,0.0008409687,0.05289636,0.0123691,0.0393204,0.7466839],"study_design_scores_gemma":[0.0000624973,0.0004607475,0.4794292,0.0007428604,0.0001641976,0.008879867,0.002146643,0.0006709468,0.005131882,0.001289803,0.5009632,0.00005821713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4574543,0.006784935,0.004234121,0.0006844541,0.001036684,0.0003645328,0.007058841,0.001152021,0.5212302],"genre_scores_gemma":[0.9568378,0.0004830373,0.003335695,0.0002890543,0.0001094426,0.0000445641,0.002485788,0.00004942048,0.03636513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02572181,"threshold_uncertainty_score":0.08604807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094255508367057,"score_gpt":0.221680025305607,"score_spread":0.1807374702219364,"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."}}