{"id":"W6968300444","doi":"10.5281/zenodo.16876106","title":"Allocapnia minima","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":"Boreal; Range (aeronautics); Common species; Taiga; Maxima and minima; West virginia","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":[0.0001522826,0.0004797154,0.0002329583,0.001383969,0.001971996,0.0006207468,0.0004727359,0.0003344954,0.01027029],"category_scores_gemma":[0.0003324902,0.0001585526,0.0001143486,0.0006407299,0.0006267285,0.0005697138,0.001208263,0.0004065537,0.001621822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004648507,"about_ca_system_score_gemma":0.0003442749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003860762,"about_ca_topic_score_gemma":0.01106756,"domain_scores_codex":[0.9998357,0.00001521846,0.00001158509,0.00005565246,0.00005217974,0.00002954733],"domain_scores_gemma":[0.9998419,0.00001511555,0.0000555233,0.00001310444,0.00004441724,0.00002981],"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":[0.0005937378,0.0001796325,0.1386647,0.0007757293,0.00008591762,0.001307749,0.002906327,0.0009684667,0.07985062,0.01215872,0.01395714,0.7485513],"study_design_scores_gemma":[0.00005483575,0.0006179525,0.5725983,0.000441984,0.00009780697,0.006693617,0.001958224,0.001666559,0.00989683,0.008866343,0.3970428,0.00006474727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7271017,0.003357238,0.007520386,0.0003733118,0.0001675049,0.0002030825,0.002311309,0.0003138903,0.2586515],"genre_scores_gemma":[0.9733909,0.0006226152,0.004051587,0.0003061545,0.0001088629,0.00007625586,0.0009250603,0.00005204499,0.02046656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01027029,"threshold_uncertainty_score":0.03435755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549422364491422,"score_gpt":0.2045019440729134,"score_spread":0.1890077204279992,"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."}}