{"id":"W4384569771","doi":"10.2139/ssrn.4512505","title":"Moonshot: Public R&D and Growth","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0007641515,0.00066374,0.001211689,0.003656668,0.001192096,0.008887793,0.0007230059,0.004535643,0.2181502],"category_scores_gemma":[0.008815778,0.0002293431,0.0004156667,0.005579809,0.0007659168,0.006260373,0.00254453,0.002645351,0.04192827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247601,"about_ca_system_score_gemma":0.001670107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00644795,"about_ca_topic_score_gemma":0.01204037,"domain_scores_codex":[0.9993976,0.0001013219,0.00003436785,0.0001067449,0.0002814625,0.0000785147],"domain_scores_gemma":[0.9943242,0.001802432,0.0006210875,0.000277271,0.001646719,0.001328218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007744664,0.00002241648,0.001396109,0.0001061756,0.00001650628,0.0000982254,0.00004135753,0.0001027986,0.00005272861,0.01481676,0.9495254,0.03374411],"study_design_scores_gemma":[0.000113799,0.0001079573,0.01289731,0.0009673805,0.0001535498,0.0002893392,0.001180299,0.002173749,0.0006590749,0.1000953,0.8812432,0.0001191185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0121919,0.06254017,0.003909715,0.5018216,0.08192775,0.00004152038,0.02036997,0.002737943,0.3144595],"genre_scores_gemma":[0.217372,0.03306463,0.001603259,0.04304554,0.04847977,0.00005769965,0.007235467,0.001302063,0.6478395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2181502,"threshold_uncertainty_score":0.7297853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03680483188908591,"score_gpt":0.2162254906745141,"score_spread":0.1794206587854282,"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."}}