{"id":"W6901846425","doi":"10.6084/m9.figshare.12703973","title":"Additional file 2 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; Advisory committee","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001963656,0.00008169557,0.0001658882,0.00009894811,0.00006916153,0.00008237345,0.0002236081,0.00002854316,0.1937172],"category_scores_gemma":[0.001095867,0.00006542866,0.00008490896,0.0002944169,0.000003629776,0.0001725137,0.00009178664,0.00005932367,0.00001178806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101987,"about_ca_system_score_gemma":0.00004807466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003392532,"about_ca_topic_score_gemma":0.00005659572,"domain_scores_codex":[0.9992295,0.000007972031,0.0004402833,0.0001316549,0.00006892035,0.0001216857],"domain_scores_gemma":[0.9991496,0.0002298961,0.0004219175,0.00006159881,0.00009514894,0.00004186099],"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":[0.000009601301,0.00001530474,0.002390334,0.00003980651,0.00002993243,1.070673e-7,0.004040271,0.00008941725,0.000008264982,0.00002502057,0.9931535,0.0001984316],"study_design_scores_gemma":[0.001331685,0.0005456209,0.5973846,0.000922624,0.00001603266,0.00001354563,0.04154781,0.00370477,0.0001616875,0.0001790698,0.3536331,0.0005595055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01576538,0.00001199603,0.000004873467,0.0002344829,0.00001055225,0.0007035934,0.9823581,0.000003999092,0.0009070312],"genre_scores_gemma":[0.2796471,6.907625e-7,0.0007555791,0.00009639244,0.00005400234,0.0006036591,0.7188175,0.00000729848,0.00001779387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6395204,"threshold_uncertainty_score":0.8070199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09474011761332822,"score_gpt":0.3197637275821973,"score_spread":0.2250236099688691,"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."}}