{"id":"W4406550808","doi":"10.1016/s1541-9800(10)70155-1","title":"10.1016/s1541-9800(10)70155-1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Percutaneous; Decompression; Medicine; Computer science; Radiology; Surgery","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":[0.001018203,0.002853652,0.001600855,0.002892246,0.002101644,0.003456761,0.003252524,0.005821328,0.9857712],"category_scores_gemma":[0.001503626,0.0008089052,0.001194312,0.002578936,0.001507245,0.005071229,0.002639256,0.002289155,0.9902664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158395,"about_ca_system_score_gemma":0.001082952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003394516,"about_ca_topic_score_gemma":0.002732878,"domain_scores_codex":[0.9992785,0.00004744718,0.00005533632,0.0002730136,0.0002027154,0.000142982],"domain_scores_gemma":[0.9978809,0.0005872417,0.0001425619,0.0002489572,0.0005150564,0.000625259],"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":[0.0002921528,0.000219066,0.0008664635,0.00056745,0.00003369458,0.0002792903,0.0001052934,0.000607544,0.002721468,0.005861773,0.3135631,0.6748827],"study_design_scores_gemma":[0.00004194082,0.000133175,0.0006025905,0.0002794641,0.00001507985,0.0003590235,0.00011005,0.0004012219,0.0006128474,0.0006850846,0.9967348,0.00002474242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005582314,0.0004751903,0.001214188,0.0003542322,0.0003248003,0.0001044411,0.0008074691,0.001078701,0.9950827],"genre_scores_gemma":[0.0007347723,0.0002131198,0.0004906706,0.0001683786,0.00006531745,0.0000496344,0.0004204548,0.0001635799,0.9976941],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01422882,"threshold_uncertainty_score":0.02029562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003216342468244996,"score_gpt":0.1454632393071563,"score_spread":0.1422468968389113,"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."}}