{"id":"W6912687669","doi":"10.5281/zenodo.594910","title":"brianstock/MixSIAR 3.1.9","year":2018,"lang":"it","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics)","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":[0.001662273,0.001791891,0.001100878,0.002722113,0.001369423,0.007066585,0.00236928,0.001858397,0.6743167],"category_scores_gemma":[0.009152439,0.0009122695,0.0009697381,0.001769235,0.0008119058,0.004417445,0.002947356,0.002804536,0.7502276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119173,"about_ca_system_score_gemma":0.001293432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003709668,"about_ca_topic_score_gemma":0.004354833,"domain_scores_codex":[0.9981895,0.0002083938,0.0001130876,0.0003444648,0.000998117,0.0001464449],"domain_scores_gemma":[0.9962381,0.0006221337,0.0001620425,0.000905641,0.001654061,0.0004180605],"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":[0.00003861513,0.000007395603,0.0000497125,0.000138412,0.000003581109,0.0000310852,0.00003797964,0.0001182334,0.0004976109,0.005133175,0.9573777,0.03656634],"study_design_scores_gemma":[0.00000738818,0.000004285054,0.00005194733,0.00003820746,0.000002371422,0.00005885848,0.00001252257,0.0001645394,0.0005865032,0.001632223,0.9974303,0.000010876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.0006592543,0.001433808,0.05749332,0.005108533,0.01079559,0.0002278553,0.02793072,0.1430896,0.7532613],"genre_scores_gemma":[0.005593688,0.001042672,0.01522343,0.001502893,0.001419282,0.0001964216,0.02302786,0.1198661,0.8321277],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6743167,"threshold_uncertainty_score":0.4645477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03562874103459936,"score_gpt":0.2519823600012029,"score_spread":0.2163536189666036,"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."}}