{"id":"W6968436194","doi":"10.5281/zenodo.16876448","title":"Isoperla transmarina","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Boreal; Range (aeronautics); STREAMS; Fauna","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":[0.0001230284,0.0004952899,0.0001693689,0.0009617204,0.000786864,0.0004237989,0.0004381625,0.0003618423,0.008607609],"category_scores_gemma":[0.0002943879,0.0001869843,0.0002021067,0.0002736209,0.000272626,0.0006696341,0.0009379136,0.0004425624,0.002350429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003519157,"about_ca_system_score_gemma":0.0002136609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00425218,"about_ca_topic_score_gemma":0.01038393,"domain_scores_codex":[0.9998785,0.000009513225,0.00001144229,0.00005942597,0.00002311281,0.00001793916],"domain_scores_gemma":[0.9998509,0.00001801028,0.00006477729,0.00001297178,0.00003683307,0.00001659593],"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":[0.0006358271,0.0004798358,0.194994,0.001730801,0.0001236475,0.0038534,0.002943306,0.001108515,0.2500353,0.003424028,0.01471683,0.5259545],"study_design_scores_gemma":[0.00006559598,0.0007231738,0.7963524,0.000606232,0.0001179443,0.008807027,0.001887265,0.0008783872,0.01269758,0.001069269,0.1767509,0.00004421754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8227139,0.005252995,0.004200164,0.0003887094,0.0001264639,0.0002617371,0.00276674,0.0003640217,0.1639253],"genre_scores_gemma":[0.9668727,0.001626317,0.004580929,0.0004556087,0.00006373935,0.0001178183,0.002247324,0.0000290842,0.02400652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008607609,"threshold_uncertainty_score":0.0287953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532074760191305,"score_gpt":0.2006408930852002,"score_spread":0.1853201454832871,"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."}}