{"id":"W4248975714","doi":"10.17583/redimat.2013.570","title":"10.17583/redimat.2013.570","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001000657,0.0001134652,0.0001353504,0.00005426943,0.0002370815,0.0001846997,0.0001471646,0.00002718146,0.9992085],"category_scores_gemma":[0.000008824109,0.0001021892,0.00005721191,0.00003447539,0.00007438086,0.0001439235,0.00002718691,0.00006980712,0.9850652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002137189,"about_ca_system_score_gemma":0.00001679423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002138823,"about_ca_topic_score_gemma":0.00005340517,"domain_scores_codex":[0.9992958,0.00002576872,0.000150516,0.0001624689,0.0001435502,0.0002218411],"domain_scores_gemma":[0.9996245,0.00001940847,0.00002119144,0.0001647122,0.00006566284,0.0001045589],"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":[0.00002283061,0.00006055352,2.849362e-7,0.000005284415,0.00001980918,0.000004434304,0.0003379943,0.000009106184,0.00002381184,0.0004235749,0.8324137,0.1666787],"study_design_scores_gemma":[0.0001231889,0.00009546703,0.00002575701,0.00000913108,0.00001112783,9.842952e-7,0.000005836292,0.00007949586,0.00002442247,0.0001042329,0.9993735,0.0001468519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007956667,0.00003095795,3.423348e-8,0.0005695635,0.00001237244,0.0001222516,0.00003954045,0.00008958276,0.991179],"genre_scores_gemma":[0.004895963,8.853687e-7,0.000005604464,0.0001313417,0.0005093559,0.00001308136,0.00001271425,0.00001787019,0.9944132],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1669599,"threshold_uncertainty_score":0.4167153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389072384022456,"score_gpt":0.182609683872982,"score_spread":0.1687189600327574,"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."}}