{"id":"W4384501802","doi":"10.3386/w31471","title":"Moonshot: Public R&D and Growth","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007841774,0.0002076769,0.0003257301,0.000899374,0.0001894134,0.0009400581,0.0003800192,0.0003067732,0.006689213],"category_scores_gemma":[0.003243141,0.0000882828,0.0004166001,0.001468547,0.0003880075,0.000630296,0.0009743673,0.0006674913,0.0009822045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008517104,"about_ca_system_score_gemma":0.001074864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03931356,"about_ca_topic_score_gemma":0.03739164,"domain_scores_codex":[0.9995766,0.00008787184,0.00001674275,0.00008147715,0.0001455192,0.00009170354],"domain_scores_gemma":[0.9958915,0.001619222,0.001500923,0.0002648792,0.0003661962,0.0003571693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004739881,0.0002069556,0.9368143,0.0001048099,0.0002023652,0.0002803572,0.0002351627,0.01030922,0.0009104648,0.005438514,0.009470023,0.03555383],"study_design_scores_gemma":[0.00005862927,0.0003122069,0.9641441,0.00004653083,0.0001085242,0.00009282663,0.0005902817,0.01195154,0.002423163,0.001864467,0.01838803,0.00001970572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817837,0.0005488776,0.001201186,0.0009725628,0.00002828599,0.00001221214,0.006960411,0.00009453163,0.008398024],"genre_scores_gemma":[0.983483,0.000337668,0.0004565791,0.00007336151,0.00005485115,0.00002324461,0.007569553,0.00002344808,0.007978303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03931356,"threshold_uncertainty_score":0.07816947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7829084419968153,"score_gpt":0.5479024461612494,"score_spread":0.2350059958355659,"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."}}