{"id":"W3209229093","doi":"10.5281/zenodo.3406711","title":"Circuitscape/Omniscape.jl: Omniscape.jl","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Science Publishing","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006290665,0.0002135077,0.00027584,0.0006637076,0.002157964,0.004700829,0.004317694,0.00007277829,0.06657218],"category_scores_gemma":[0.00329701,0.0001903003,0.0001316848,0.002042229,0.0001868205,0.0006632308,0.004050722,0.0002997995,0.1893882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038481,"about_ca_system_score_gemma":0.00000785392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001400612,"about_ca_topic_score_gemma":5.016606e-7,"domain_scores_codex":[0.9946259,0.0006135293,0.0006551673,0.001363231,0.002092207,0.0006499827],"domain_scores_gemma":[0.9959934,0.0002166909,0.0002619659,0.002315975,0.0009007636,0.000311142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002386681,0.0001235002,0.00005976421,0.00001717607,0.00002649472,0.00001117828,0.0007770583,0.0003032619,0.001570743,0.0102483,0.7203457,0.266493],"study_design_scores_gemma":[0.0004788911,0.0001348562,0.002385105,0.00002120874,0.000009841375,0.00004831939,0.001159064,0.004151278,0.0001348201,0.001781408,0.9894519,0.000243317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1438043,0.0001037186,0.01483552,0.00213387,0.001687922,0.0009187403,0.0002530247,0.001434376,0.8348286],"genre_scores_gemma":[0.9687234,0.00001847638,0.0003310244,0.0004052684,0.0002136483,3.987662e-8,0.0006581634,0.0007123144,0.02893766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8249192,"threshold_uncertainty_score":0.9991411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115108800030769,"score_gpt":0.32219146035139,"score_spread":0.207082660320621,"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."}}