{"id":"W2046532293","doi":"10.1503/cmaj.051346","title":"Dire needs post earthquake","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Disaster Response and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medical emergency; Forensic engineering; Library science; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001671918,0.0005419359,0.0007505525,0.0007071698,0.0103683,0.003427419,0.0008843725,0.005319848,0.05547393],"category_scores_gemma":[0.007410516,0.0003332909,0.0005369879,0.0007085939,0.001643688,0.003539707,0.008378821,0.005776261,0.01077946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002321783,"about_ca_system_score_gemma":0.01045048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02361527,"about_ca_topic_score_gemma":0.09240504,"domain_scores_codex":[0.9984078,0.0003359409,0.00007585437,0.00008083855,0.0002554486,0.0008442752],"domain_scores_gemma":[0.9945259,0.0003192285,0.0002055374,0.0001208351,0.0006890038,0.004139426],"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":[0.00004746412,0.00005865521,0.002990545,0.0002744914,0.00001335546,0.001130079,0.004314838,0.00005439266,0.0001029845,0.002366302,0.9345728,0.05407416],"study_design_scores_gemma":[0.000050253,0.0003210377,0.02914196,0.002278483,0.00004282855,0.003338608,0.06855065,0.00009470022,0.00009551417,0.01103953,0.8849555,0.0000908972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.02597653,0.01548059,0.0003412482,0.8117362,0.01448174,0.0001045703,0.002356542,0.0002838879,0.1292387],"genre_scores_gemma":[0.3113022,0.0620342,0.002740392,0.4525403,0.01353809,0.0006757875,0.004160108,0.0004010231,0.1526077],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.05547393,"threshold_uncertainty_score":0.1855788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612896754943959,"score_gpt":0.3292955382249789,"score_spread":0.3131665706755393,"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."}}