{"id":"W4239455781","doi":"10.17583/redimat.2013.574","title":"10.17583/redimat.2013.574","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":[0.0009206671,0.0007654178,0.0004779341,0.002442481,0.00203564,0.005055948,0.001133887,0.002217526,0.9480006],"category_scores_gemma":[0.00210992,0.0004919664,0.0005033682,0.002284735,0.00125498,0.004560309,0.003148835,0.001449056,0.9299636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504865,"about_ca_system_score_gemma":0.001169608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003615211,"about_ca_topic_score_gemma":0.004793679,"domain_scores_codex":[0.9995652,0.00006515779,0.00004619243,0.00009283479,0.0001610106,0.00006958696],"domain_scores_gemma":[0.9988193,0.0002195162,0.00006068032,0.00026646,0.0003590854,0.0002749254],"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":[0.00006041008,0.00008753294,0.0006691741,0.0002737248,0.00000570676,0.0001529766,0.0001987823,0.0001007284,0.000608024,0.01756127,0.5388729,0.4414088],"study_design_scores_gemma":[0.000005525737,0.000007615967,0.0004267172,0.0001318985,0.000002561595,0.000209275,0.0001453416,0.00006190212,0.000165349,0.001212084,0.9976221,0.000009663516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005481772,0.0007043087,0.0007950659,0.0009248689,0.000747001,0.00003461552,0.0008357996,0.00119225,0.9942179],"genre_scores_gemma":[0.002811619,0.0005238296,0.0005320553,0.0004356218,0.0001524639,0.00002240175,0.0005314552,0.0004240372,0.9945666],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05199939,"threshold_uncertainty_score":0.07417083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385627308608705,"score_gpt":0.1825941583652014,"score_spread":0.1687378852791143,"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."}}