{"id":"W4238953239","doi":"10.17583/redimat.2013.328","title":"10.17583/redimat.2013.328","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":[0.000827041,0.0007439343,0.0004573706,0.002200843,0.001950726,0.004736364,0.001047551,0.00205563,0.9474522],"category_scores_gemma":[0.001896556,0.0004840274,0.0005029697,0.002064633,0.001126187,0.004098553,0.003078367,0.001392222,0.9289876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428057,"about_ca_system_score_gemma":0.001106871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003451712,"about_ca_topic_score_gemma":0.004458403,"domain_scores_codex":[0.9996104,0.0000576435,0.00004100084,0.00008216987,0.0001459106,0.00006296423],"domain_scores_gemma":[0.9989693,0.0001830159,0.0000503896,0.0002332511,0.0003186137,0.0002454671],"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":[0.00005993357,0.00008409672,0.0006137633,0.0002719411,0.000005528233,0.0001547553,0.0001791067,0.00009735231,0.0006072433,0.01644269,0.5707058,0.4107779],"study_design_scores_gemma":[0.000005799262,0.00000765783,0.0004088486,0.0001259623,0.000002392654,0.0001958124,0.0001322909,0.0000594487,0.0001500501,0.001193057,0.9977095,0.000009206826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005323209,0.0006467326,0.0007324951,0.0008782843,0.0007079346,0.00003520029,0.000954024,0.001184352,0.9943288],"genre_scores_gemma":[0.00294292,0.0005268255,0.0005705761,0.0004638735,0.0001595385,0.00002502841,0.0006253654,0.0004239019,0.9942621],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05254781,"threshold_uncertainty_score":0.07495302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389930094126199,"score_gpt":0.1826298962441612,"score_spread":0.1687305953028992,"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."}}