{"id":"W6930184989","doi":"10.5281/zenodo.10657799","title":"Aeshnidae","year":2024,"lang":"de","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Géomatique du Québec; Canadian Wood Council; Bombardier (Canada); Atlantic Industries (Canada); Ministry of Natural Resources and Forestry; Royal British Columbia Museum","funders":"","keywords":"Operational planning; Deductive method; Ecological planning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000137085,0.0009917638,0.0003097393,0.001170213,0.0007255238,0.0004590026,0.0003100782,0.0002060178,0.04746921],"category_scores_gemma":[0.0002085838,0.0001812003,0.0002942768,0.0009548714,0.0002247586,0.0007621904,0.000623624,0.0004539865,0.01986453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004064706,"about_ca_system_score_gemma":0.0003294767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004781781,"about_ca_topic_score_gemma":0.00824045,"domain_scores_codex":[0.9998343,0.00001959944,0.00001757281,0.00003981004,0.00006096739,0.0000277237],"domain_scores_gemma":[0.9999043,0.000007824717,0.0000244094,0.00001103729,0.00004015318,0.00001224231],"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":[0.00064975,0.00009967128,0.03261955,0.000852387,0.0001410833,0.0003395684,0.000936551,0.0004922682,0.01361056,0.006609606,0.07554143,0.8681075],"study_design_scores_gemma":[0.00002595948,0.000117972,0.06422328,0.0001392778,0.00005187178,0.0008258747,0.0003215938,0.0001621427,0.001069083,0.0007651944,0.9322836,0.00001401439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1516374,0.01800211,0.009089896,0.0007488634,0.001504738,0.0007202113,0.03403024,0.002228281,0.7820383],"genre_scores_gemma":[0.3898934,0.01816212,0.01710658,0.001264594,0.0005291622,0.0005617948,0.04143778,0.0003457955,0.5306987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04746921,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09080319080050392,"score_gpt":0.332318141291596,"score_spread":0.2415149504910921,"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."}}