{"id":"W4411656894","doi":"10.51847/imflticaor","title":"10.51847/IMflTiCaoR","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic Growth and Development","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Entrepreneurship; Political science; Economic growth; Engineering ethics; Public administration; Economics; Engineering; Law","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":[0.0006679928,0.00094453,0.0005309848,0.003365962,0.001290612,0.003784169,0.00083834,0.002667575,0.9140925],"category_scores_gemma":[0.001312132,0.0002932148,0.0004179944,0.002980626,0.0009337808,0.002592753,0.002130813,0.001097068,0.9004977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240707,"about_ca_system_score_gemma":0.0007333625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003555206,"about_ca_topic_score_gemma":0.003210807,"domain_scores_codex":[0.99964,0.00005021704,0.00003342242,0.00009633375,0.0001120601,0.00006811966],"domain_scores_gemma":[0.9990973,0.0001805684,0.00009187713,0.0001681218,0.0002762905,0.0001858795],"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":[0.0001548235,0.0001200817,0.001468292,0.0003831824,0.000009556096,0.000253987,0.0001429708,0.0002985089,0.001266914,0.013122,0.2632364,0.7195434],"study_design_scores_gemma":[0.00001447492,0.00002685854,0.001161297,0.0002391247,0.000004664586,0.0002463923,0.00008729405,0.0001670455,0.0002726099,0.001164534,0.9966063,0.000009273914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001558183,0.001921331,0.0008763881,0.001325521,0.0006984523,0.0000457307,0.001274563,0.0008535745,0.9914461],"genre_scores_gemma":[0.005960439,0.0009852317,0.0007678047,0.0003968675,0.0001339616,0.00004055471,0.0009298779,0.0001774349,0.9906079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08590746,"threshold_uncertainty_score":0.1225365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005587589035665962,"score_gpt":0.1590823767818297,"score_spread":0.1534947877461637,"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."}}