{"id":"W4411656855","doi":"10.51847/xxvvzwm701","title":"10.51847/xXVVZwm701","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Economic Growth and Development","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elitism; Corporate governance; Local governance; Business; Political science; Politics","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":[0.0007578347,0.0007483028,0.0005194083,0.001640807,0.001221357,0.003566572,0.0004926259,0.002347506,0.9198814],"category_scores_gemma":[0.001375026,0.0003192578,0.000314581,0.001989464,0.0007103989,0.002299252,0.002320107,0.001081057,0.8810779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007159959,"about_ca_system_score_gemma":0.0007181375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415549,"about_ca_topic_score_gemma":0.002395451,"domain_scores_codex":[0.9994835,0.0001163355,0.00004800249,0.0001287396,0.0001307348,0.00009276791],"domain_scores_gemma":[0.9990922,0.0002669006,0.00007523347,0.0001222117,0.0002174931,0.0002258913],"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":[0.0001926427,0.0003010368,0.005357301,0.0003789718,0.00001429144,0.0003244172,0.0004108214,0.0002505727,0.002677414,0.01098431,0.2160974,0.7630108],"study_design_scores_gemma":[0.00004680756,0.0001005397,0.006092213,0.0003880699,0.00001130179,0.0004933198,0.0007606334,0.0007065415,0.0007962476,0.003098336,0.9874842,0.00002176484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006760469,0.0008140319,0.00155062,0.001900153,0.0005590053,0.0001003193,0.001195461,0.0007921893,0.9863278],"genre_scores_gemma":[0.01167547,0.0005906209,0.001150424,0.0004227943,0.00007698606,0.0000734815,0.0008748872,0.0001583455,0.9849769],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0801186,"threshold_uncertainty_score":0.1142794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005478375963398265,"score_gpt":0.1558091459645982,"score_spread":0.1503307700011999,"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."}}