{"id":"W4253666413","doi":"10.1146/annurev.arplant.53.100301.135223","title":"10.1146/annurev.arplant.53.100301.135223","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":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0009161945,0.001652002,0.0009077494,0.002902835,0.002121736,0.006841104,0.00140304,0.005002605,0.9469134],"category_scores_gemma":[0.001491951,0.0008960722,0.0009578437,0.003034165,0.001396381,0.005810983,0.003487865,0.002661658,0.9612231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155824,"about_ca_system_score_gemma":0.0009762201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004799784,"about_ca_topic_score_gemma":0.004473765,"domain_scores_codex":[0.9996744,0.00003134609,0.00002864125,0.0001157965,0.00009055556,0.00005923636],"domain_scores_gemma":[0.9992661,0.00014658,0.00006231671,0.0001414382,0.0001552986,0.0002282181],"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":[0.00006977371,0.0001253401,0.0005629527,0.0006878224,0.0000202524,0.0002260513,0.0002854816,0.0002845475,0.0009900855,0.02455129,0.5558063,0.4163901],"study_design_scores_gemma":[0.000005171291,0.000008134093,0.000533574,0.0002474556,0.00001253761,0.0002271298,0.00009708149,0.00005828637,0.0001227556,0.002310323,0.9963664,0.00001114473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004487855,0.006125493,0.0018602,0.001794202,0.001123767,0.00004258702,0.001555457,0.001291245,0.9857582],"genre_scores_gemma":[0.00332565,0.005447041,0.0008733445,0.0006255608,0.0002976534,0.00005558726,0.001079601,0.0006465641,0.9876491],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05308664,"threshold_uncertainty_score":0.07572156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126680537957039,"score_gpt":0.1815206743625811,"score_spread":0.1688526205668772,"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."}}