{"id":"W7153973036","doi":"10.1145/3772318.3808969","title":"10.1145/3772318.3808969","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); MEDLINE; Emergency medical services; Health care","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":[0.001696292,0.002322227,0.001676068,0.002876529,0.002377864,0.004631445,0.002291035,0.003993594,0.9533244],"category_scores_gemma":[0.003789607,0.001600054,0.001110867,0.007162857,0.001270023,0.008012668,0.006117963,0.001841103,0.9760276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002126936,"about_ca_system_score_gemma":0.001109299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01355799,"about_ca_topic_score_gemma":0.01062669,"domain_scores_codex":[0.9993522,0.00004632373,0.00005781787,0.0001667296,0.0002390052,0.0001380691],"domain_scores_gemma":[0.9979129,0.0004721713,0.00008690007,0.0006416724,0.0004916527,0.0003946566],"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":[0.0001594673,0.000133102,0.0005763402,0.0003736036,0.00002727337,0.0001780309,0.0001002006,0.0003951829,0.0008469577,0.006507166,0.7221506,0.268552],"study_design_scores_gemma":[0.00002384418,0.00001741878,0.0008052509,0.0001947232,0.00002217934,0.0001264167,0.00006639802,0.0004415008,0.0003209067,0.001081873,0.9968761,0.00002334311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001053412,0.001948083,0.005311229,0.0009911249,0.001408315,0.0001946473,0.007848583,0.008227304,0.9730173],"genre_scores_gemma":[0.002697946,0.001383691,0.001302586,0.0004812496,0.0001382033,0.0001071353,0.005258876,0.0014031,0.9872273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04667562,"threshold_uncertainty_score":0.06657714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007679144761090102,"score_gpt":0.2190002345071594,"score_spread":0.2113210897460693,"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."}}