{"id":"W4411656573","doi":"10.51847/gulaao2jte","title":"10.51847/gulAao2JTE","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Rule of law; Law; Political science; Computer science; Business","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":[0.0006452715,0.0009338435,0.0005964757,0.00206395,0.001572069,0.004322722,0.001096934,0.003493861,0.9022387],"category_scores_gemma":[0.001441595,0.0003123382,0.0004390221,0.002480975,0.001301396,0.002945153,0.002119322,0.001286559,0.8781796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179793,"about_ca_system_score_gemma":0.0007007745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003541399,"about_ca_topic_score_gemma":0.003996332,"domain_scores_codex":[0.9996207,0.00006070318,0.00003090968,0.0001229017,0.00009901893,0.00006584852],"domain_scores_gemma":[0.9992113,0.0002340158,0.00005848865,0.000121466,0.0002177382,0.0001569047],"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":[0.0002954947,0.0001971939,0.00226777,0.0006444318,0.00002074567,0.0004563863,0.0004478194,0.0003564294,0.003088967,0.02744078,0.242092,0.722692],"study_design_scores_gemma":[0.00003232854,0.00003709802,0.001251154,0.0002595117,0.00001374192,0.000385032,0.0003625168,0.0004428138,0.0006411929,0.003949567,0.9926054,0.00001957029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002669235,0.001236859,0.002648297,0.002176039,0.00081669,0.00006996817,0.0008338996,0.001298866,0.9882503],"genre_scores_gemma":[0.01081482,0.0007990672,0.001540369,0.0007099247,0.0001069434,0.00006408634,0.0005199483,0.0003220447,0.9851227],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09776127,"threshold_uncertainty_score":0.1394445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553114631942776,"score_gpt":0.2417995629224278,"score_spread":0.2262684166030001,"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."}}