{"id":"W4390424958","doi":"10.3917/sh.198.0036","title":"10.3917/sh.198.0036","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":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.0005556666,0.00155029,0.0006872899,0.001872439,0.001595586,0.003732149,0.0009781612,0.002206109,0.9774337],"category_scores_gemma":[0.0010647,0.0005595864,0.0005410291,0.001698786,0.001280421,0.002580457,0.002258474,0.001354957,0.9775554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163496,"about_ca_system_score_gemma":0.001306413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006169992,"about_ca_topic_score_gemma":0.008491958,"domain_scores_codex":[0.9997219,0.00001992112,0.00002133048,0.00008536488,0.00009473077,0.00005671179],"domain_scores_gemma":[0.9989741,0.0001422763,0.00004992909,0.0001800234,0.0002991712,0.0003546487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001443903,0.0001836525,0.0009871251,0.0002240618,0.000009740897,0.0001244275,0.00009070995,0.0001691683,0.001325911,0.006702896,0.6363202,0.3537178],"study_design_scores_gemma":[0.00003076035,0.00002625366,0.0009893674,0.0001746566,0.00000840147,0.0001355671,0.0001021691,0.0001668642,0.0004383915,0.001296994,0.9966158,0.0000146163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005896228,0.000222952,0.0004395587,0.0006645571,0.0004250295,0.00004689896,0.00140025,0.001069723,0.9951414],"genre_scores_gemma":[0.001401748,0.0001588135,0.0001574615,0.0002767771,0.00006011922,0.00002121399,0.0005614792,0.0001763643,0.997186],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02256626,"threshold_uncertainty_score":0.03218806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004387702191176132,"score_gpt":0.1463318003063516,"score_spread":0.1419440981151754,"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."}}