{"id":"W4280533374","doi":"10.53480/peer.2","title":"10.53480/PEER.2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exportation; XML; Test (biology); Computer science; World Wide Web; Botany; Biology; Artificial intelligence","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":[0.001723655,0.001234699,0.0007937261,0.00386924,0.002758506,0.00669855,0.001688379,0.002687237,0.9632814],"category_scores_gemma":[0.007212745,0.0009067342,0.0006854594,0.00277425,0.001501801,0.005586727,0.005467026,0.001886006,0.9711005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210849,"about_ca_system_score_gemma":0.001700421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643659,"about_ca_topic_score_gemma":0.003595153,"domain_scores_codex":[0.9983368,0.0001859026,0.0001340835,0.0003472465,0.0008433895,0.0001524161],"domain_scores_gemma":[0.994496,0.0007301762,0.0002568399,0.001247657,0.002071566,0.001197773],"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":[0.00005141019,0.00005517028,0.0002828378,0.0003564401,0.000007355013,0.0001243875,0.0001136339,0.00006590285,0.0009912215,0.007014947,0.687831,0.3031057],"study_design_scores_gemma":[0.000006770907,0.000008082297,0.0002209232,0.00006693284,0.000002363911,0.000103063,0.0000499641,0.0000419339,0.0001628837,0.0005922162,0.9987376,0.000007106366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002332999,0.0003455152,0.0009382752,0.0009194764,0.001138695,0.0001160625,0.001047593,0.001940732,0.9933203],"genre_scores_gemma":[0.001002707,0.0003236171,0.0004772768,0.0002382488,0.0002499734,0.00004260307,0.0003966433,0.0008443603,0.9964247],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03671861,"threshold_uncertainty_score":0.05237454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516563894722179,"score_gpt":0.1897202611629196,"score_spread":0.1745546222156978,"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."}}