{"id":"W1533341853","doi":"10.1109/dsde.2010.37","title":"10.1109/DSDE.2010.37","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":"Emulation; Computer science; Data mining; Data 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":[0.000618068,0.001350266,0.0008309872,0.001535583,0.001199117,0.003780076,0.001901849,0.002235956,0.6772943],"category_scores_gemma":[0.001322646,0.000703738,0.0005141273,0.002699108,0.0007240815,0.003433913,0.002256627,0.002085471,0.7388173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624465,"about_ca_system_score_gemma":0.001031575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00610655,"about_ca_topic_score_gemma":0.008928397,"domain_scores_codex":[0.9995565,0.00004439296,0.00003812494,0.0001192924,0.0001770086,0.00006460554],"domain_scores_gemma":[0.9993931,0.0001008664,0.00002558027,0.0002262344,0.0001706631,0.00008356151],"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":[0.0001718751,0.0001315032,0.0006519326,0.0002536833,0.00002563211,0.0001526939,0.0000737965,0.001241454,0.002144972,0.01643055,0.5642435,0.4144784],"study_design_scores_gemma":[0.0000217154,0.00001595711,0.0002421303,0.00008142021,0.000008008558,0.000200627,0.00005407595,0.003306667,0.0007668591,0.005784142,0.989503,0.00001543134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002989286,0.005208615,0.05480555,0.002640639,0.002424637,0.0003015584,0.01457594,0.02088547,0.8961684],"genre_scores_gemma":[0.02230131,0.004011764,0.02613254,0.001139721,0.0003281551,0.0002041056,0.02305673,0.002247346,0.9205783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3227057,"threshold_uncertainty_score":0.4603006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648029060812916,"score_gpt":0.1859730203054144,"score_spread":0.1694927296972852,"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."}}