{"id":"W6949578654","doi":"10.5281/zenodo.15830456","title":"Oppiella nova nova (Oudemans 1902","year":2025,"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":"","funders":"","keywords":"Nova (rocket); Distribution (mathematics); West germany; Nova scotia","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":[0.0002902217,0.001295996,0.0004390054,0.002269443,0.001917348,0.0009110824,0.0006463825,0.001034912,0.007773582],"category_scores_gemma":[0.001450489,0.0002932836,0.0002509149,0.001501346,0.0006482064,0.001484551,0.001299712,0.0007745248,0.003842312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009022094,"about_ca_system_score_gemma":0.0005733114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004235,"about_ca_topic_score_gemma":0.008419165,"domain_scores_codex":[0.9995321,0.00004226351,0.0000379067,0.0001159526,0.0001307221,0.0001411033],"domain_scores_gemma":[0.9994916,0.00007880972,0.0001493747,0.00005310729,0.0001738504,0.00005328485],"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":[0.001418684,0.0003532888,0.07736143,0.002428934,0.0001226351,0.007175509,0.001858159,0.00207824,0.09980433,0.008911438,0.04426302,0.7542243],"study_design_scores_gemma":[0.000139133,0.0004455666,0.2215036,0.00135464,0.0001068166,0.006317128,0.001711833,0.0006022313,0.005407687,0.00209445,0.7602521,0.00006493738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4408779,0.02782591,0.01132302,0.001373619,0.004281953,0.001449133,0.01338481,0.0005131449,0.4989704],"genre_scores_gemma":[0.8981283,0.01241251,0.01587589,0.001787481,0.0008473903,0.0007308435,0.01191066,0.00004989615,0.058257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01004235,"threshold_uncertainty_score":0.02600521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670408644726554,"score_gpt":0.2425919896882133,"score_spread":0.1858879032409478,"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."}}