{"id":"W6893398610","doi":"10.5281/zenodo.16876114","title":"Allocapnia pygmaea","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":"STREAMS; Range (aeronautics); Invertebrate; Larva; Vegetation (pathology); Fauna; Introduced species","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":[0.00008858765,0.0003192608,0.0001208223,0.001026302,0.0008403819,0.000255769,0.0002190796,0.0001965858,0.007887185],"category_scores_gemma":[0.0002715121,0.00009685386,0.00008681217,0.0006090562,0.0003167161,0.0003668241,0.0009537484,0.0002380412,0.001295345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002572018,"about_ca_system_score_gemma":0.0002654587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00572534,"about_ca_topic_score_gemma":0.01737489,"domain_scores_codex":[0.9999008,0.000009146105,0.000006901012,0.00002939711,0.00003323494,0.00002042077],"domain_scores_gemma":[0.9999157,0.000008578671,0.00003036974,0.000008389557,0.00001993714,0.00001699055],"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":[0.0002972262,0.0001012597,0.208021,0.0006718096,0.00006619286,0.001911301,0.00262151,0.0009186442,0.08649448,0.002821884,0.009911049,0.6861637],"study_design_scores_gemma":[0.00002235683,0.0001971044,0.9023511,0.0001728613,0.00003766828,0.004543023,0.001102963,0.0007144688,0.003741439,0.001491105,0.08560527,0.00002057199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194095,0.001702434,0.002744607,0.0001572682,0.00006318821,0.00007902844,0.00118434,0.0002032992,0.07445627],"genre_scores_gemma":[0.9868628,0.0005289178,0.002167744,0.0001338277,0.00003380717,0.00003134426,0.0004612863,0.00001953214,0.009760874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007887185,"threshold_uncertainty_score":0.02638525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495675304522449,"score_gpt":0.2027107100489676,"score_spread":0.1877539570037431,"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."}}