{"id":"W4411656949","doi":"10.51847/cxprpijzmc","title":"10.51847/cxPrpiJzmC","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misrepresentation; Linguistics; Natural language processing; Computer science; Philosophy; Political science; Law","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":[0.0009513181,0.001549763,0.0008335222,0.002995885,0.001804604,0.005471311,0.001028109,0.004484996,0.9544134],"category_scores_gemma":[0.002404549,0.0005667863,0.0004932264,0.003304602,0.001774185,0.003422005,0.002350049,0.002055511,0.9355152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881133,"about_ca_system_score_gemma":0.001364151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006766357,"about_ca_topic_score_gemma":0.005171039,"domain_scores_codex":[0.9992386,0.0001167308,0.00006612352,0.0002151442,0.0002588875,0.000104612],"domain_scores_gemma":[0.998536,0.0003777477,0.0001194574,0.0002596212,0.0004754167,0.0002317078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002613753,0.0002163692,0.001653823,0.0006345136,0.00002160826,0.0004090551,0.0002021232,0.0004245037,0.001693155,0.02843711,0.4618556,0.5041907],"study_design_scores_gemma":[0.0000359002,0.00003371651,0.001238643,0.0002625272,0.00001002476,0.0003617393,0.0001608477,0.0005232603,0.0003729887,0.00268187,0.9942995,0.00001896829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001182795,0.0006693336,0.001223866,0.001840009,0.0006732575,0.00008966369,0.00119928,0.0008241397,0.9922976],"genre_scores_gemma":[0.00680762,0.0006426016,0.0009046092,0.0005391419,0.0001632127,0.00006784608,0.0007409808,0.0002801977,0.9898538],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04558665,"threshold_uncertainty_score":0.06502384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851922954129013,"score_gpt":0.1591534742517011,"score_spread":0.140634244710411,"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."}}