{"id":"W4391026177","doi":"10.18174/639798","title":"Creating Impact with science","year":2023,"lang":"en","type":"report","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Computer science; Data 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03737199,0.0009993288,0.0009492913,0.006719733,0.004364481,0.02242709,0.002935481,0.006017067,0.09669609],"category_scores_gemma":[0.08415726,0.001021444,0.001445622,0.004778498,0.007070474,0.02066595,0.02296535,0.008002358,0.04862841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005621726,"about_ca_system_score_gemma":0.01435828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901612,"about_ca_topic_score_gemma":0.002836367,"domain_scores_codex":[0.9550629,0.01521057,0.001949935,0.001880151,0.02384527,0.002051207],"domain_scores_gemma":[0.9356056,0.0291656,0.001658241,0.01471385,0.01299091,0.00586572],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003191318,0.00005783339,0.0003087118,0.0005677641,0.0000204962,0.0001263752,0.002536307,0.0004217156,0.0005719236,0.3628008,0.4504182,0.182138],"study_design_scores_gemma":[0.000005298248,0.000006828859,0.00008418338,0.0002305128,0.000003046828,0.00003591354,0.0002414588,0.00004137588,0.0001472801,0.03464732,0.9645491,0.000007727662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00121387,0.00643972,0.05654847,0.0608781,0.008075351,0.0007329583,0.00186275,0.004772208,0.8594766],"genre_scores_gemma":[0.09347927,0.03566414,0.2052284,0.05271685,0.01094305,0.004385482,0.01137716,0.01523377,0.570972],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.962628,"threshold_uncertainty_score":0.3234807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2048023648884317,"score_gpt":0.3707485256279505,"score_spread":0.1659461607395188,"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."}}