{"id":"W1517073557","doi":"10.1109/ssme.2009.68","title":"10.1109/SSME.2009.68","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; Pseudorandom number generator; Theoretical computer science; Automaton; Programming language; Algorithm","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":[0.0006936547,0.001275303,0.0007219448,0.001030966,0.00162571,0.003607044,0.001549419,0.003714477,0.8505113],"category_scores_gemma":[0.001268611,0.0005984856,0.0005073156,0.001596894,0.000912879,0.004711343,0.002060009,0.002192202,0.8522308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125534,"about_ca_system_score_gemma":0.0005879566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553632,"about_ca_topic_score_gemma":0.005681711,"domain_scores_codex":[0.9995214,0.00006876399,0.00003946551,0.0001303922,0.0001617298,0.00007835491],"domain_scores_gemma":[0.999204,0.0001924675,0.00002688366,0.0002623193,0.0002145474,0.00009983494],"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":[0.0002687973,0.0001796595,0.0007627412,0.0002280196,0.00002995926,0.0002290664,0.0001199496,0.0005879512,0.003068271,0.01328781,0.5664519,0.414786],"study_design_scores_gemma":[0.00002857177,0.00003367065,0.0003202544,0.0001358652,0.00001090879,0.00019955,0.00007626452,0.001757374,0.000960243,0.003651691,0.9928063,0.00001928027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002089765,0.001742262,0.01751021,0.001505834,0.001232431,0.000169636,0.002564745,0.007595359,0.9655897],"genre_scores_gemma":[0.01269364,0.001099078,0.005231224,0.0007435342,0.0001605843,0.00007809605,0.002625929,0.001018037,0.9763499],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1494887,"threshold_uncertainty_score":0.2132276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366488995925394,"score_gpt":0.1861001521096096,"score_spread":0.1724352621503557,"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."}}