{"id":"W4411656751","doi":"10.51847/0jqf9ixcvy","title":"10.51847/0jqf9iXCVy","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fiscal policy; Monetary economics; Stock exchange; Economics; Shock (circulatory); Stock (firearms); Yield (engineering); Financial system; Macroeconomics; Finance; Materials science; Metallurgy; Internal medicine; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00105951,0.0009274883,0.0006685249,0.002601297,0.0008692155,0.002792513,0.000849558,0.002122216,0.9392208],"category_scores_gemma":[0.001744093,0.000249461,0.0004820388,0.002199886,0.0007130087,0.001643526,0.001762241,0.0008224365,0.8971387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002767,"about_ca_system_score_gemma":0.0009117802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006271953,"about_ca_topic_score_gemma":0.003443064,"domain_scores_codex":[0.9993902,0.00006429095,0.00004407765,0.0001669479,0.0002163693,0.0001180835],"domain_scores_gemma":[0.9987827,0.0002260745,0.00009863821,0.0002013389,0.0004506997,0.0002406713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002025446,0.00021284,0.003782844,0.0002549757,0.00001991559,0.0002401263,0.0001035326,0.0005090969,0.003241194,0.006157498,0.1964542,0.7888212],"study_design_scores_gemma":[0.00006250808,0.0001150585,0.007273134,0.000231601,0.00001346129,0.0003950678,0.0001648173,0.001203765,0.0009463929,0.002234922,0.9873297,0.00002970047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009555755,0.0008284894,0.004906873,0.001888648,0.001205204,0.0001912672,0.003396807,0.002929822,0.9750972],"genre_scores_gemma":[0.01490557,0.0004248355,0.003254992,0.0004958719,0.0002141292,0.00009113458,0.002988144,0.0005594496,0.977066],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06077921,"threshold_uncertainty_score":0.08669406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005431005436778889,"score_gpt":0.1556865278809314,"score_spread":0.1502555224441526,"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."}}