{"id":"W4230740620","doi":"10.1503/cmaj.050708","title":"Correction","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009063638,0.00227229,0.001760592,0.005179086,0.004092955,0.005991182,0.00442582,0.006779977,0.1475051],"category_scores_gemma":[0.1880567,0.0009816941,0.001852773,0.003547875,0.003079447,0.003501937,0.003648189,0.01172115,0.07799223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005392544,"about_ca_system_score_gemma":0.007033319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196826,"about_ca_topic_score_gemma":0.01183758,"domain_scores_codex":[0.9818804,0.003253169,0.002319697,0.002103229,0.0090248,0.001418613],"domain_scores_gemma":[0.8961405,0.0246101,0.005985033,0.007823674,0.06250369,0.002936982],"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":[0.00001519241,0.000002489422,0.00005130887,0.00005788657,0.000005935124,0.0001171397,0.00003509107,0.0000169287,0.00002463828,0.0007985234,0.9939451,0.00492983],"study_design_scores_gemma":[0.00001885601,0.00001144976,0.0003716869,0.0003007539,0.00001655387,0.0005118934,0.00006418925,0.0001377011,0.0001748758,0.001345975,0.9970199,0.00002611103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001596676,0.0006387571,0.001652332,0.07938483,0.9107035,0.00004290991,0.001801416,0.000767436,0.004849112],"genre_scores_gemma":[0.01917871,0.004603982,0.009360448,0.1801555,0.4981649,0.000537699,0.006204807,0.004179889,0.2776141],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1475051,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04622657456481362,"score_gpt":0.3191039641361028,"score_spread":0.2728773895712892,"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."}}