{"id":"W6939543536","doi":"10.6084/m9.figshare.12703970","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005831805,0.0007516419,0.0007315041,0.002086592,0.0007387295,0.001975702,0.001780437,0.001084711,0.859031],"category_scores_gemma":[0.05745843,0.0005836001,0.0007912891,0.004836182,0.0002399512,0.00230028,0.001195172,0.001369338,0.1737119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192893,"about_ca_system_score_gemma":0.004969891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03152253,"about_ca_topic_score_gemma":0.04221082,"domain_scores_codex":[0.9979255,0.0007453328,0.0002134313,0.0002472439,0.0006023864,0.0002660812],"domain_scores_gemma":[0.9515162,0.03609339,0.002075993,0.002111414,0.007242166,0.0009609631],"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":[0.00006669177,0.00004464932,0.0007644717,0.0004457336,0.00001427619,0.00000935691,0.00003216887,0.000929305,0.00001150966,0.002001111,0.9898098,0.00587088],"study_design_scores_gemma":[0.002862494,0.0002373543,0.01730159,0.001338459,0.0001148506,0.00006453492,0.0006898634,0.007266415,0.0003695823,0.02032561,0.9493217,0.0001075121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001962906,0.00001601367,0.00108641,0.0006002617,0.00004061999,0.0003161677,0.9884617,0.000390236,0.008892316],"genre_scores_gemma":[0.03226441,0.0002589561,0.01963131,0.001170795,0.0002828548,0.008589745,0.8698034,0.002488977,0.06550951],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.859031,"threshold_uncertainty_score":0.2010751,"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."}}