{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009887264,0.003343266,0.001476136,0.001926889,0.0007079256,0.003265139,0.007756696,0.002498638,0.6587287],"category_scores_gemma":[0.004317397,0.00281653,0.001511655,0.001242977,0.0005581192,0.003979988,0.002803179,0.002914192,0.6066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477351,"about_ca_system_score_gemma":0.001319043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003636591,"about_ca_topic_score_gemma":0.004970014,"domain_scores_codex":[0.9989992,0.00006508277,0.00006672434,0.0001763211,0.0005138281,0.0001789065],"domain_scores_gemma":[0.9982342,0.0003770922,0.00009356698,0.0004044892,0.0007029253,0.0001877234],"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":[0.000144827,0.00002476723,0.0002044521,0.0006360426,0.00003625295,0.00005883173,0.00004555317,0.0007417114,0.002595441,0.002455027,0.9534202,0.03963687],"study_design_scores_gemma":[0.0001849796,0.00005638084,0.0004832522,0.0002520842,0.00003049127,0.0002603652,0.00002559096,0.005340251,0.01900455,0.003985146,0.9702629,0.000114021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007511267,0.0006635536,0.05948569,0.0004741055,0.0005267705,0.0002091631,0.04311339,0.8070944,0.08768181],"genre_scores_gemma":[0.01660056,0.0009219509,0.0297464,0.001440968,0.0002137465,0.0006616134,0.09329468,0.6480509,0.2090692],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6587287,"threshold_uncertainty_score":0.4867821,"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."}}