{"id":"W4234863472","doi":"10.1524/9783050063614.145","title":"10.1524/9783050063614.145","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":"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":[0.0007481111,0.001206567,0.0008566554,0.001803835,0.001634629,0.006122694,0.001372637,0.002744805,0.9822561],"category_scores_gemma":[0.001899876,0.0007012429,0.0006855541,0.00251103,0.001358986,0.004676222,0.003331445,0.001696519,0.9790765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007842922,"about_ca_system_score_gemma":0.0007556248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002376624,"about_ca_topic_score_gemma":0.003553713,"domain_scores_codex":[0.9995641,0.00004932709,0.00003762504,0.0001099642,0.0001742634,0.00006471425],"domain_scores_gemma":[0.9988036,0.0003402355,0.00005576983,0.0002651379,0.0002336661,0.0003017279],"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":[0.00007547154,0.0000730435,0.0002720482,0.0002590548,0.000008854331,0.00009869873,0.000141304,0.00007707011,0.0009982531,0.005551178,0.7141376,0.2783073],"study_design_scores_gemma":[0.00001244044,0.00001109524,0.0005046583,0.0001367506,0.000003306624,0.00008180692,0.0001006391,0.00007288949,0.0001246631,0.00058332,0.9983596,0.000008742839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000164944,0.0002708342,0.0004471998,0.0002678783,0.0003312734,0.0000411878,0.0007991683,0.0009651814,0.9967123],"genre_scores_gemma":[0.0005329566,0.0001886363,0.0001433732,0.0001698337,0.00005459495,0.00002738063,0.0003665618,0.0003556831,0.9981609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01774395,"threshold_uncertainty_score":0.0253095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337948387997033,"score_gpt":0.1807772421465755,"score_spread":0.1673977582666052,"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."}}