{"id":"W6958125913","doi":"10.6084/m9.figshare.12703970.v1","title":"Additional file 1 of A systems approach for optimizing implementation to impact: meeting report and proceedings of the 2019 In the Trenches: Implementation to Impact International Summit","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Innovates","funders":"","keywords":"Summit; Key (lock); Scope (computer science); File management","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001972343,0.00008171653,0.0001658554,0.00009900038,0.00006915745,0.00008222956,0.0002237085,0.00002854303,0.1961246],"category_scores_gemma":[0.00110664,0.00006544591,0.00008492221,0.0002946015,0.000003629817,0.0001724184,0.00009179705,0.00005933468,0.00001189047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019634,"about_ca_system_score_gemma":0.0000482479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003365218,"about_ca_topic_score_gemma":0.00005632703,"domain_scores_codex":[0.9992295,0.000007974203,0.0004401238,0.0001317344,0.00006893419,0.0001217218],"domain_scores_gemma":[0.9991471,0.0002325509,0.0004214438,0.00006169461,0.00009532031,0.0000418661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000009640617,0.00001530393,0.002452344,0.00003950542,0.00002992273,1.047279e-7,0.004036251,0.00008904401,0.000008500551,0.00002466324,0.9931007,0.000194008],"study_design_scores_gemma":[0.001327581,0.000546867,0.6061644,0.0009341619,0.00001611854,0.00001355416,0.0419928,0.003733868,0.0001628964,0.0001783588,0.3443676,0.0005618104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01584467,0.00001183947,0.000004957801,0.0002353818,0.00001049921,0.0007043562,0.9822939,0.000003998464,0.0008904077],"genre_scores_gemma":[0.2818562,6.751332e-7,0.000767784,0.00009620714,0.00005326556,0.0006120014,0.7165889,0.000007292999,0.00001771332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6487331,"threshold_uncertainty_score":0.8046103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09768182484975195,"score_gpt":0.3203480926405642,"score_spread":0.2226662677908123,"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."}}