{"id":"W2118844219","doi":"10.1002/sim.5805","title":"Reply to Taguri and Matsuyama","year":2013,"lang":"en","type":"letter","venue":"Statistics in Medicine","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Institutes of Health","keywords":"Computer science; Computational biology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01091811,0.001221541,0.002722089,0.001505526,0.008039783,0.00825357,0.004175755,0.1290369,0.008134283],"category_scores_gemma":[0.0657783,0.002008715,0.002113684,0.001985284,0.005361778,0.005300804,0.004233736,0.07655242,0.008197604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009246186,"about_ca_system_score_gemma":0.0124164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851762,"about_ca_topic_score_gemma":0.03390352,"domain_scores_codex":[0.9912421,0.002597529,0.001249719,0.001058141,0.00201183,0.001840658],"domain_scores_gemma":[0.9697118,0.01813426,0.002606126,0.0007459304,0.004188782,0.00461299],"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":[0.00004408524,0.00001273027,0.0004804153,0.0000395784,0.00001733302,0.0004804596,0.0001449724,0.00002617036,0.00005835763,0.001024164,0.99577,0.001901666],"study_design_scores_gemma":[0.0001884431,0.00007095619,0.003621941,0.000747905,0.0001218605,0.001009423,0.001508118,0.0005354801,0.0003194925,0.009562002,0.982152,0.0001624645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001562979,0.0006053333,0.00005012652,0.9834461,0.0148892,0.00001331458,0.00005272135,0.00001429347,0.0007726845],"genre_scores_gemma":[0.0006844721,0.000249419,0.00006317269,0.982646,0.01370008,0.00003462688,0.00001337911,0.00001188046,0.002597032],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1290369,"threshold_uncertainty_score":0.0670861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07162140203662545,"score_gpt":0.4092971359147897,"score_spread":0.3376757338781642,"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."}}